Analytics and Data Summit 2018: Full Schedule

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10:10am PDT

Achieving Live Data in the Oracle Cloud

If you’re like most people shifting to a cloud strategy, your learning curve is steep, and even the basics such as migrating data to the cloud are worrisome. Whether megabytes or petabytes, you need your cloud migration to be an efficient process - continuous, requiring no downtime, and seamless without data loss. The long delays inherent with traditional migration methods, the need for coordinated ingestion across multiple environments and various geolocations, stale, vulnerable, or inconsistent data often leave projects stuck in the starting gate. Even worse, when your business’s data is driving competitive advantage, unless you can be sure of the availability of your data, you and your business are at serious risk. Now it is possible to have guaranteed consistent data everywhere, even when data is growing and changing. This presentation will explain ‘LIVE DATA’. And present architecture and solutions that show how a ‘LIVE DATA strategy’ allows you to surmount common and sometimes scary cloud use-cases across a wide variety of industry scenarios.

Speakers

Tom Luckenbach

Architect, Global Partner Solutions, WANdisco

15+ years Management/Executive leadership. Ran Pre-Sales Systems/Sales Engineering and Professional Service teams for Enterprise Hardware and Software solutions. The last 5 years the focus is on Big Data - modern data warehouse and analytics platforms in the Cloud.

Tuesday March 20, 2018 10:10am - 11:00am PDT
2-Rm 102

Big Data

Products Big Data Cloud Service (OBDCS), Cloud Machine, Platform as a Service (PaaS), Storage Cloud Service
Track Big Data, Strategy

10:10am PDT

Oracle Autonomous Data Warehouse Cloud: Easy, Fast and Highly Elastic

Oracle recently expanded its Data Management Cloud portfolio with the addition of the Oracle Autonomous Data Warehouse Cloud Service to help customers and partners with the deployment of data-mart or data warehouse environments to gain faster insights from their critical business data. Oracle Autonomous Data Warehouse Cloud is the first of many cloud services built on the “self-driving” Oracle Autonomous Cloud Database technology. This service is integrated with applied machine learning to deliver unmatched high performance, reliability, and instant elasticity.
Oracle Autonomous Data Warehouse Cloud uses the same Oracle Database software and technology found in existing on-premises data warehouse deployment, and is compatible with Oracle’s in-database machine learning algorithms, analytics and BI tools, as well as popular 3rd party offerings. Oracle Autonomous Data Warehouse Cloud is simple to deploy, enabling traditional data mart environments or new monetization use cases.\

Speakers

George Lumpkin

Vice President, Product Management, Oracle

George Lumpkin is Vice President of Product Management for Oracle data warehouse solutions. George has been with Oracle for twenty-six years, and has a tenured experience across database, data warehouse, big data and analytics foundations. He also has a degree from Harvard University... Read More →

Tuesday March 20, 2018 10:10am - 11:00am PDT
1-Auditorium

Data Warehousing and SQL

10:10am PDT

An Introduction to Graph: Database, Analytics, and Cloud Services

Graph analysis employs powerful algorithms to explore and discover relationships in social network, IoT, big data, and complex transaction data. Learn how graph technologies are used in applications such as fraud detection for banking, customer 360, public safety, and manufacturing. This session will provide an overview and demos of graph technologies for Oracle Cloud Services, Oracle Database, NoSQL, Spark and Hadoop, including PGX analytics and PGQL property graph query language.

Speakers

Jean (Oracle) Ihm

Product Manager, Spatial and Graph, Oracle Spatial and Graph

I'm a Product Manager for Oracle Spatial and Graph technologies. Mapping and location and graph analysis for Database, Big Data, and the Cloud.

Jan Michels

Principal Member of Technical Staff, Oracle

Jan Michels represents Oracle on the ANSI and ISO committees responsible for standardizing SQL, while working closely with the Oracle database server development teams. He has been involved in designing extensions for the SQL language for 20 years. Jan is chair of the DM32.2 Ad Hoc... Read More →

Hans Viehmann

Product Manager, ORACLE Corporation

Hans Viehmann is working for ORACLE Corporation as Product Manager for the Oracle Spatial and Graph option and the „Location Products“. He holds a degree in Physics from Hamburg University and started his career in Research before joining ORACLE over twenty years ago. After various... Read More →

Tuesday March 20, 2018 10:10am - 11:00am PDT
3-Rm 103

Spatial and Graph

Products Big Data Cloud Service (OBDCS), Platform as a Service (PaaS), Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data, Cloud Computing, Internet of Things

11:15am PDT

Turning Relational Database Tables into Spark Data Sources

Big Data Analytics requires unstructured data (a.k.a. Big Data) but also Master data generally stored in RDBMS tables.

Apache Spark furnishes the Spark SQL interface for querying unstructured data using SQL. This interface provisions the Datasource API with a JDBC interface for accessing relational databases. How to join RDBMS tables with Big data using Spark SQL without moving data over?

This session describes an implementation of the Spark Datasource API and explains the optimizations that (i) allow parallel and direct access to the RDBMS database (with the option of controlling the number of concurrent connections); (ii) introspect the RDBMS table, generate partitions of Spark JDBCRDDs based on the split pattern and rewrite Spark SQL queries into the RDBMS SQL; (iii) use hooks in the JDBC driver for faster type conversions; (iv) push down predicates to the RDBMS, prune partitions based on the where clause to reduce the amount of data returned to the RDBMS.

Speakers

Kuassi Mensah

Director Product Management, Oracle Corporation

Kuassi is Director of Product Management at Oracle. He looks after the following product areas (i) Java connectivity to DB (Cloud, on-premises), in-place processing with DB embedded JVM (ii) MicroServices and DB connectivity, and related topics (Data & Tx models, Kubernetes, SAGAs... Read More →

Tuesday March 20, 2018 11:15am - 12:05pm PDT
5-Rm 105

Big Data

Products Big Data Connectors, Database Enterprise Edition
Track Big Data, Analytics

11:15am PDT

Sneak Preview: Graph Cloud Services and Spatial Console for Database Cloud

Cloud services change the way we provision, deploy and perform analytic application development. They can simplify the development and deployment experience and make it possible for developers and data scientists to use analytics in which they had little or no expertise.

Two new planned cloud services from Oracle for spatial and graph analysis offer low-code and no-code capabilities. The spatial cloud services include no-code spatial analysis, automated geo-enrichment of data, visual map analysis, and simplified spatial application creation for analysts and developers. The graph cloud services provide an analyst and developer studio with dozens of prebuilt, low-code graph algorithms with wizards to automate modeling, loading, and visualizing graph data and analysis results.

These mapping and graph analysis services offer over hundreds of geospatial and graph analysis functions. Data access will be available through rich APIs, along with SQL-based spatial and graph query languages.

Speakers

Jayant Sharma

Sr Dir, Prod Mgmt, Oracle USA Inc

Dr. Jayant Sharma is Director, Spatial Product Management at Oracle . He has over twenty years experience in databases and spatial information systems. He is currently focused on the product strategy, and design, of spatial components for Oracle's database and middleware products... Read More →

Jim Steiner

VICE PRESIDENT, ORACLE

Jim Steiner is Vice President of Product Management in the Oracle Server Technologies Division. He heads product management and strategy for Oracle’s spatial, graph, and several Big Data technologies. Mr. Steiner joined Oracle in 1995 as Director of Product Management and Marketing... Read More →

Tuesday March 20, 2018 11:15am - 12:05pm PDT
1-Auditorium

Spatial and Graph

Products Big Data Cloud Service (OBDCS), Platform as a Service (PaaS), Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data, Cloud Computing, Machine Learning, Strategy

1:10pm PDT

Powerful Spatial Features You Never Knew Existed in Oracle Spatial and Graph

Even expert users may not know some of the powerful functions available in Oracle Spatial and Graph, or how to optimize common spatial requirements. I often find myself working with customers that implement spatial requirements the way they had to with other spatial solutions, instead of the best way they can by leveraging powerful unique capabilities available in Oracle Spatial and Graph. Many times the reason is "I didn't know that existed". This session will cover how Oracle Spatial and Graph natively integrates with key Oracle Database features such as transparent data encryption (TDE), redaction, partitioning (all types), and also powerful nearest neighbor strategies, new spatial functions introduced in 12c, as well as an overview of spatial functions you never knew existed. Customer use cases and code examples will be included. This session is intended for a technical audience, but others will also gain useful insights on the powerful capabilities of Oracle Spatial and Graph.

Speakers

Daniel Geringer

Spatial Solutions Specialist, Oracle Corporation

Spatial Solutions Specialist -- Joined Oracle in 1995 to work on Oracle's spatial technologies -- Works with customers and partners around the world to solve spatial requirements in a scalable manner. -- Test, benchmark, and develop Oracle spatial technologies on Oracle Engineered... Read More →

Tuesday March 20, 2018 1:10pm - 2:00pm PDT
3-Rm 103

Spatial and Graph

Products Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data, Cloud Computing, Data Warehousing and SQL

2:30pm PDT

Move Data between Apache Hadoop and Oracle Database for Customer 360 Analytics

Customer 360 degree views require data from a variety of streaming sources to be integrated with data stored in Big Data systems and databases. Machine learning and analytics applications need access to mobile device feeds, online community logs, social media feeds, and much more, along with business critical data stored in the database. Tools for data movement between streaming data sources, Big Data platforms and Oracle Databases are essential. In this session, learn about tools that move data between these systems, using technology such as Hive storage handlers for Kafka, direct path load, SQL, and custom Hive SerDes. We will step through using these tools to work with Streaming data (Kafka), Big Data, and Database services in Oracle Cloud Infrastructure.

Speakers

Melliyal Annamalai

Product Manager, Oracle

Melli Annamalai is a product manager at Oracle. She has vast experience in multiple technology areas related to unstructured and semi-structured data management. Her current focus areas are Graphs, Apache Kafka, and Big Data. She works closely with customers as they deploy solutions... Read More →

Tuesday March 20, 2018 2:30pm - 3:20pm PDT
4-Rm 104

Big Data

Products Big Data Cloud Service (OBDCS), Big Data Connectors, Big Data SQL, Cloud Machine
Track General, Big Data, Cloud Computing

3:35pm PDT

Monetize product usage and Retain customer success with Oracle Bigdata

Data is at the heart of Product organization's decision making process. Yet, only a few pieces of valuable product usage data are deployed for financials analytics. In this session learn how RecVue processes trillions of product usage data points with Oracle Bigdata cloud and build analytics to monetize product usage, reduce customer churn and retain customer success.

Speakers

Anto Joseph

VP, Technology, RECVUE

Anto is a technologist, innovator, and product strategist. He leads the engineering and operations teams at RecVue. His teams are responsible for delivering RecVue (SaaS), including the user interface, applications and frameworks. He believes deeply in building technology products... Read More →

Tuesday March 20, 2018 3:35pm - 4:05pm PDT
2-Rm 102

Big Data

Products Big Data Cloud Service (OBDCS)
Track Big Data, Analytics

3:35pm PDT

Forecasting the storm recovery resource allocation in electric utility network

A leading cause of power outages in the US is weather driven equipment failure events. Oracle utility customers are seeking machine learning techniques (recommended by the USDOE) to improve real-time risk assessment for critical assets based upon incoming weather forecast. Given an accurate prediction for the location, type, and amount of the storm-damaged equipment, the utility company can position the right number of specialized crews and material resources ahead of time. We develop a novel machine-learning model trained on the history of asset failures and reported weather. Since the weather-reporting stations might be far from the assets and some weather data measurements might be missing, we interpolate the weather conditions at the asset locations using a triangularization function computed with a barycentric coordinates technique implementation. We report performance comparison of multiple machine learning models to recommend the best damage prediction tool.

Speakers

Kenny Gross

Architect, Oracle

Kenny C Gross, PhD, is an AI Architect in Oracle's Physical Sciences Research Center in San Diego, CA. Kenny specializes in advanced pattern recognition and prognostic anomaly discovery for Big Data applications in IoT industries, life sciences, and business business-critical data... Read More →

Andrew Vakhutinsky

Consulting Member of Technical Staff, Oracle

Andrew Vakhutinsky is a Consulting Member of Technical Staff at Oracle Labs. He has Ph.D. in Operations Research from University of Maryland, College Park, and M.Sc. in Physics and Applied Mathematics from Moscow University of Physics and Technology. Andrew's previous experience includes... Read More →

Tuesday March 20, 2018 3:35pm - 4:05pm PDT
4-Rm 104

Machine Learning

Products Analytics Cloud (OAC), Business Intelligence, Business Intelligence Cloud Service (BICS), Business Intelligence Enterprise Edition (OBIEE)
Track Analytics, Cloud Computing, Data Warehousing and SQL, Machine Learning, Big Data

3:35pm PDT

18c Spatial New Features Update

With the Oracle Database 18c release, Oracle Spatial and Graph brings new performance and usability features across the board to complement features introduced in Oracle Database 12c Release 2. This release also makes it easy to develop spatial applications in Oracle Cloud. Spatial now supports distributed transactions, making it easy to develop web applications that update spatial data. More geometry types can be converted between SDO_GEOMETRY and JSON formats, and Oracle REST Data Services supports spatial queries. Sharding support (introduced in 12.2) is now extended to spatial tables and indexes. Web services are enhanced to support multiple data sources so that a single web service instance can serve data from different database schemas, and CSW 2.0.2 ISO metadata application profiles are supported. GeoRaster now supports many GDAL functions via external procedures.
Learn what’s new with the leading spatial platform that’s fast, cloud-ready, and developer-friendly.

Speakers

Siva Ravada

Senior Director of Engineeting, Oracle, USA

Siva manages the development team for Oracle’s spatial technologies. He is one of the founding members of the development of Spatial technologies in Oracle since the Oracle7 release. He holds numerous patents, has several journal and conference publications, and authored a book... Read More →

Tuesday March 20, 2018 3:35pm - 4:05pm PDT
3-Rm 103

Spatial and Graph

Products Database Enterprise Edition, Spatial and Graph (OSG)
Track Data Warehousing and SQL, General, Spatial and Graph, Analytics, Big Data, Cloud Computing

4:20pm PDT

Ordnance Survey Ireland: National Mapping as a Service

Ordnance Survey Ireland (OSi), the Irish national mapping agency, maintains national spatial data sets and creates mapping products for government agencies and the public. Achieving a leadership role in national mapping requires addressing many challenges: dealing with the explosion of 3D terrain data from aerial photos and satellites, needing to automate complex workflow processes, handling 1.2+ petabytes of data holdings including geospatial data with scalability and security, and sharing data widely with the public._x000D_
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With the Oracle Spatial and Graph, Database 12c, and Exadata platform, OSi has addressed these challenges. OSi uses Oracle Spatial and Graph point cloud, raster, and linked open data capabilities for solutions in the areas of Cartographic Automation, 3D Solid Geometry, Point Cloud Classification, Visualisation & Dissemination and Geospatial Linked Data. OSi is also looking toward cloud-based solutions using Oracle. Learn about OSi’s innovative geospatial solutions._x000D_
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Speakers

Éamonn Clinton

General Manager, Geospatial Services, Ordnance Survey Ireland

Éamonn Clinton is the General Manager, Geospatial Services, Data Governance & Quality and Spatial Strategist with Ordnance Survey Ireland, the Irish national mapping agency. Éamonn has worked in the geospatial industry for over 20 years. He has worked on a large number of public... Read More →

Tuesday March 20, 2018 4:20pm - 4:45pm PDT
3-Rm 103

Spatial and Graph

Products Database Enterprise Edition, Partitioning, Real Application Clusters, Spatial and Graph (OSG), Weblogic
Track Spatial and Graph, Analytics, Big Data

4:20pm PDT

Architecture Live - Designing an Analytics Platform for the Big Data Era

Don't miss the Architecture Live experience! In this interactive session, you'll witness two industry experts digitally illustrating data-driven architectures live, with input and feedback from the audience.

Kafka, Lambda, and Streaming Analytics will be all covered. We’ll tell you what these words mean, and more importantly how they affect the choices we make building an enterprise architecture. With the Oracle Information Management Reference Architecture as the backdrop, we'll clarify and delineate the different components involved in delivering big data, fast data, and all the gray area in between. The Architecture Live experience will be fun and different, and we'll all learn something along the way.

Speakers

Stewart Bryson

Owner, Red Pill Analytics

Stewart is the Owner and Co-founder of Red Pill Analytics, and has been designing and implementing BI systems since 1996. He is an Oracle ACE Director, is an internationally recognized writer and speaker in the Oracle Community, and co-host for the audio and video podcast See Data... Read More →

Jean-Pierre Dijcks

Master Product Manager, Oracle

Highly experienced product manager with 15 years of experience in enterprise software and enterprise data. Currently responsible for all product management aspects (technology, GTM, Enablement etc.) of Oracle Big Data Appliance and Big Data Cloud Service at Oracle.Active interest... Read More →

Tuesday March 20, 2018 4:20pm - 5:10pm PDT
1-Auditorium

Big Data

Products Big Data Cloud Service (OBDCS), Big Data Preparation Cloud Service, Big Data SQL, Business Intelligence, Data Visualization (DV)
Track Big Data, Analytics, Data Warehousing and SQL, Strategy

4:20pm PDT

Bringing your Data Warehouse to the the Lake

As early as 2001 Enterprise Data Warehousing (EDW) design patterns like "Corporate Information Factory" (CIF) began to emerge. Theses patterns established EDW as the central focus of reporting. Current BI/DW 1.0 projects still follow these patterns today. Problems in the BI/DW 1.0 methodology have appeared. Increases in data volume, variety and velocity have all created considerable challenges for this legacy architecture. In this presentation we will review the legacy of BI/DW 1.0 and dive into the future BI/DW 2.0 and 3.0 architectures. Taking a close look and advanced staging areas, operational data stores and how those architectures can be used for cloud facilitation in BI/DW 2.0. Additionally, this presentation will drive into the BI/DW 3.0 data tipping point and where various Oracle products fit in these new emerging modern data architectures.

Speakers

Jeremy Simmons

Managing Consultant, DataRoad Technologies

A business and technology consultant with over 20 years of experience in delivering value to organizations by closing the gap between business needs and IT capabilities. I take a hands on approach to delivering technical work, with a strong ability to speak to and gather C-Level requirements... Read More →

Tuesday March 20, 2018 4:20pm - 5:10pm PDT
5-Rm 105

Data Warehousing and SQL

4:20pm PDT

Introducing Oracle R Enterprise 1.5.1 New Features

Oracle R Enterprise, a component of the Oracle Advanced Analytics Option, makes the open source R statistical programming language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle R Enterprise integrates R with Oracle Database, enabling R users to run R commands and scripts for statistical, machine learning, and graphical analyses on database tables. In this session, we will briefly introduce Oracle R Enterprise, but focus on the new features of Oracle R Enterprise 1.5.1, including:

OREdplyr - transparncy layer package based on the popular and powerful dplyr package from the tidyverse
OAAgraph - enabling combining Oracle Spatial and Graph PGX with OAA machine learning from a common R interface
Explicit Semantic Analysis algorithm - new text analytics capability to extract features based on human curated topics, such as from Wikipedia
Partititioned models - automated building and scoring of predictive models based on data partitions
and more...

Join us to see what how you could take your R-based analytics to the next level of functionality, scalability, and performance.

Speakers

Mark Hornick

Senior Director, Oracle

Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating... Read More →

Tuesday March 20, 2018 4:20pm - 5:10pm PDT
2-Rm 102

Machine Learning

Products Oracle R Enterprise, Oracle R Distribution, Oracle Advanced Analytics, Oracle Spatial and Graph, Oracle PGX
Track General, Machine Learning, Big Data, Spatial and Graph

4:45pm PDT

Country Scale digital maps data with Oracle Spatial & Graph

MapmyIndia builds and provides the most advanced maps of India optimized for in-vehicle and personal navigation and tracking and location-based services for enterprise and personal use. This presentation describes the use and benefits of Oracle Spatial and Graph in the data production pipeline from collection and extraction to production, quality assurance, and delivery. Oracle Database 12 allows the use of common applications for data ingestion and integration and data validation and production. After a rigorous set of quality assurance tests that include topological, statistical, and other validation, consistency, and completeness checks the production database is then used generating data products for delivery in multiple formats. The common platform for storage and applications facilitates quarterly releases that often contain significant updates. This presentation will also discuss planned usage of 3D and point-cloud management for HD maps.

Speakers

Ankeet Bhat

VP Business Development, MapmyIndia

Having been in the mapping space since last 6 years Ankeet has help built various business verticals from scratch in MapmyIndia from enterprise, automotive, international businesses, etc. and has also delved deep into technologies around maps. He has been involved with numerous strategic... Read More →

Tuesday March 20, 2018 4:45pm - 5:10pm PDT
3-Rm 103

Spatial and Graph

Products Real Application Clusters One Node
Track Spatial and Graph, Big Data, Internet of Things

9:00am PDT

Advanced Dashboard Techniques: Ultimate 360 Student View

Learn how Florida International University takes advantage of the OBIEE Business Intelligence technologies for report design, end-user interactive tools and data delivery. From requirement and validation phases to benefits realized from using the dashboard as a centralized source for actionable data.

Speakers

Ayodele Osikoya

Business Intelligence Developer, Florida International University

Ayodele Osikoya has over 5 years of diversified experience in the areas of Business Intelligence and Business Process Improvement. He has experience in requirement analyses, data mining ,forecasting and statistical analysis. Currently, he and his team are implementing the Florida... Read More →

Wednesday March 21, 2018 9:00am - 9:25am PDT
4-Rm 104

Analytics

Products Business Intelligence;Business Intelligence Enterprise Edition (OBIEE);Data Integrator (ODI)
Track Analytics, Big Data, Data Warehousing and SQL

9:00am PDT

Just Add Magic: Improve Query Performance and Security in Hadoop

Hadoop, through schema on read offers a tremendous advantage in analytics: flexibility to work with data before it is completely modeled and loaded, enabling analysis to start much sooner. But, as we learned from Hive in Hadoop, it does come with relatively poor performance. This session will unveil and explain technological innovations from Oracle, addressing these performance issues. We will share how we achieved parquet query performance with the flexibility of schema on read enabling the best of both worlds while fitting comfortably within the open source community. On top of that, this session addresses further research into methods of securing data. Security will be done at a much more granular level than possible today. If you are interested in the latest innovations around Hadoop, Object Stores, performance and security, you should not miss this session.

Speakers

Jean-Pierre Dijcks

Master Product Manager, Oracle

Wednesday March 21, 2018 9:00am - 9:50am PDT
1-Auditorium

Big Data

Products Big Data Cloud Service (OBDCS)
Track Big Data, Cloud Computing

9:00am PDT

Analyze the Global Knowledge Graph with Visualization, Cloud, & Spatial Tech

Every 15 minutes the world’s news is captured into the Global Knowledge Graph. The data set contains nearly a trillion sentiment snapshots and more than 1.5 billion location references.
Oracle ingested the data set on the Bare Metal Cloud to create a data warehouse. The project was designed to meet the needs of big data users, such as cyber threat and defense intelligence analysts. They require analysis of the connections between people, places, events, content and sentiment embedded in traditional data sources. They also need a pipeline and robust visualizations to filter the data, carve out relevant subsets and save the results to a property graph database for further analysis.
This session will describe the challenges, complexities, and technologies used to create a 35TB data warehouse, and filter, visualize, analyze and write results back, with a single click, to the Oracle Spatial and Graph database using Tom Sawyer Perspectives.

Speakers

Kevin Madden

Chief Software Engineer, Tom Sawyer Software

With more than 20 years of experience in the software industry, Kevin Madden brings an innovative approach to Tom Sawyer Software. Originally the third software engineer at Tom Sawyer Software, today he plays a strategic role in the direction of the company's server-based products... Read More →

Wednesday March 21, 2018 9:00am - 9:50am PDT
3-Rm 103

Spatial and Graph

Products Bare Metal Cloud Database Service, Big Data SQL, Cloud Machine, Infrastructure as a Service (IaaS), NoSQL Database Enterprise Edition, Spatial and Graph (OSG), Weblogic
Track Spatial and Graph, Analytics, Big Data, Cloud Computing, Data Warehousing and SQL

9:00am PDT

HOL: Using R for Big Data Advanced Analytics, Machine Learning, and Graph

Limited Capacity full
Adding this to your schedule will put you on the waitlist.

Oracle R Enterprise (ORE), a component of the Oracle Advanced Analytics Option, provides a comprehensive, database-centric environment for end-to-end analytical processes in R, enabling immediate deployment to production environments. Entire R scripts can be operationalized in production applications - eliminating the need to port R code. Using ORE with Oracle Database enables R users to transparently analyze and manipulate data in Oracle Database thereby eliminating memory constraints imposed by client R engines. In this hands-on lab, attendees will work with the latest Oracle R Enterprise software, getting experience with the transparency layer, machine learning algorithms, and embedded R execution. Working with the instructors through scripted scenarios, users will understand how R is used in combination with Oracle Database to analyze big data.

Speakers

Mark Hornick

Senior Director, Oracle

Wednesday March 21, 2018 9:00am - 10:55am PDT
6-Bldg 500

Machine Learning

Track Machine Learning, Big Data, Spatial and Graph

10:05am PDT

Cloud Native Big Data 2.0 Platform Overview and Strategy

This session providers an overview of Oracle's modern, cloud native big data 2.0 platform as a cloud service. Learn how various technological innovations within the portfolio of Big Data Cloud forms big data foundation services-around data integration, data management and analytics. Also learn about Oracle Event Hub Cloud that is offered as cloud native Kafka as a managed service, that his low latency and high performance streaming platform in the cloud.

Speakers

Praveen Deshpande

Director, Product Management, Oracle

Over 17 Years of Product Development experience building Enterprise Technology Solutions - Analytics & Data Platforms, Big Data, Distributed Systems and Cloud Computing (public/private/hybrid). Functions:- Product Management & Strategy, Product Engineering and Business Develop... Read More →

Wednesday March 21, 2018 10:05am - 10:55am PDT
2-Rm 102

Big Data

Products Big Data Cloud Service (OBDCS)
Track Big Data, Cloud Computing, Strategy

10:05am PDT

Follow the Money: A Graph Model for Monitoring Bank Transactions

Examining the flow of bank transactions is key to analyzing financial operations such as fraud detection, client segmentation, personalized offers, risk modeling, client retention, etc. In particular, bank analysts are challenged to understand the behavior of companies that make large bank deposits and then transfer significant sums – to entities both inside and outside the bank’s network. They are also challenged by the limitation of relational and traditional BI tools to effectively model and analyze the money flows between a customer, its bank, and external 3rd parties. Banco Galicia has addressed this challenge by modeling money flows as a complex graph of transactions. The result is a powerful approach to support the analysis and visualization of money flows across a large network of bank-affiliated transactions. This session will desdescribe how Banco Galicia uses Oracle Big Data Spatial and Graph to understand the topology and behavior of money transfers.

Speakers

Federico Garcia Calabria

Senior Consultant, Oracle

Federico Garcia Calabria has a college Degree in Informatics Engineer and a Masters Degree in Data Mining. He currently works as a Senior Consultant in Oracle Consulting Services where he has been contributing primarily as a Big Data/Business Intelligence/SOA analyst on banking and... Read More →

Wednesday March 21, 2018 10:05am - 10:55am PDT
3-Rm 103

Spatial and Graph

Track Spatial and Graph, Analytics, Big Data, Machine Learning

11:10am PDT

Graph Modeling and Analysis for Complex Automotive Data Management

Mazda is an automotive manufacturer that routinely needs to link and analyze data from different sources like production, sales, inventory, and logistics. Most manufacturers use a bill of materials (BoM) to provide a master system for parts and their relationships. However, BoM developers have long realized the difficulties of modeling the complex relationships between components using a RDBMS. Moreover, BoM data must also align with master (or transaction) data from disparate IT systems. This paper highlights a novel approach to apply a graph database to create a flexible BoM of interconnected auto components. This system uses the property graph database and in-memory analytics in Oracle Spatial and Graph. We found the graph data model to be more effective at modeling, querying, and visualizing complex relationships in our data, while also integrating with different production systems. We will also share performance results of complicated pattern matching queries using PGQL._x000D_
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Speakers

Masahiro Yoshioka

Principal Engineer, Mazda Motor Corporation

Yoshioka Masahiro is currently responsible for evaluating and implementing advanced technologies in IT at Mazda Motor Corporation, Hiroshima, Japan. He and his team are currently focused on technologies in Big Data & AI – to identify opportunities to apply those technologies to... Read More →

Wednesday March 21, 2018 11:10am - 11:35am PDT
3-Rm 103

Spatial and Graph

Products Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data, Internet of Things

11:10am PDT

Operationalizing Machine Learning

Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models. Netflix never implemented the algorithm that won the Netflix $1 Million Challenge. This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data management platforms. By “moving algorithms to the data”, Oracle Database and Big Data Clouds are now data management and advanced analytical platforms. “Robots” can replicate human tasks by capturing best practices discovered in the data and automating that process using machine learning deployed models. Developers use SQL, R and Oracle Data Miner UI to build, evaluate and deploy advanced analytical methodologies. See how to go beyond “tools” to enabling RPA (robotic process automation) applications. Several Oracle “predictive” Applications will be shown as examples._x000D_

Speakers

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle

Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →

Wednesday March 21, 2018 11:10am - 12:00pm PDT
2-Rm 102

Machine Learning

Track Machine Learning, Analytics, Big Data, Cloud Computing, Data Warehousing and SQL

11:10am PDT

HOL: Oracle Big Data SQL: Analyze Data Across Oracle Database, Hadoop, and NoSQL

Limited Capacity full
Adding this to your schedule will put you on the waitlist.

Organizations are capturing data in a variety of data stores including Oracle Database, NoSQL, and Hadoop. Oracle Big Data SQL allows you to use Oracle SQL and security policies to seamlessly query across these stores. This means that existing Oracle Database query applications—without changes—will now be able to take advantage of this new information. This hands-on lab introduces you to how this is achieved: providing access to big data sources, implementing unified security, and delivering analyses that combine and correlate all data.

Speakers

Martin Gubar

PM Director, Oracle

I'm part of Oracle's big data product management team - with a key focus on Big Data SQL. I have a long history at Oracle - starting in the sales consulting organization - and then working in the BI, OLAP and Big Data PM groups

Wednesday March 21, 2018 11:10am - 1:50pm PDT
6-Bldg 500

Big Data

Products Big Data SQL
Track Big Data, Data Warehousing and SQL

11:35am PDT

Construct a Public Security Data Analysis Engine Using Oracle Big Data Solution

Criminal analysis and prediction involves using many, varied data sources with various data formats. A city level public security department in China looked to Oracle's big data technologies to address their business requirements. We delivered this project to our customer using Oracle Database 11.2, Big Data Spatial and Graph 2.2, BIEE 12c, Data Visualization, Big Data Discovery 1.3.2 products.
We integrated various data including emergency call (911), demographic, hotel bookings, criminal records, live traffic, and other data sets, to perform accommodation analysis, criminal prediction analysis, correlation analysis, and operation efficiency dashboard and reporting. The property graph features in Big Data Spatial and Graph were key to performing these analytics, and the solution integrated Oracle's big data technology into one platform.

Speakers

Justin Zou

Senior Sales Consultant, Oracle

Justin Zou has more than 10 years hands on experiences of IT/consulting work , especially at Big Data field.

Wednesday March 21, 2018 11:35am - 12:00pm PDT
3-Rm 103

Big Data

Products Spatial and Graph (OSG)
Track Big Data, Analytics, Spatial and Graph

1:00pm PDT

Using Machine Learning in OBIEE for Predictive Analytics and Actionable BI

This presentation focuses on unlocking the power of Data Science for data-driven decision support. It details the pragmatics of using Machine Learning techniques in OBIEE for actionable BI and Predictive Analytics from a business standpoint. Two industry use cases are presented to illustrate the implementation of the same using OBIEE 12c.

Speakers

Lakshman Bulusu

Consultant, Princetoinfo

Lakshman Bulusu has around 30 years of US experience as a database developer, database engineer, and database architect using Oracle, MySql, Sqlserver and Vertica across telecom, retail, healthcare, pharma, and insurance industry verticals in both OLAP and OLTP environments.His book... Read More →

Wednesday March 21, 2018 1:00pm - 1:50pm PDT
2-Rm 102

Machine Learning

Products Advanced Analytics (OAA), Business Intelligence, Business Intelligence Enterprise Edition (OBIEE), Data Visualization (DV), Database Enterprise Edition, R Enterprise (ORE)
Track Machine Learning, Analytics, Big Data

2:20pm PDT

Real Time Big Data Analytic Platform with Oracle GoldenGate for Big Data

Lending Club’s Big Data Analytics platform is going through a major transformation to adopt the Lambda Architecture with Real-Time reporting and execution of AI/ML models on Real-Time data. Lending Club's OLTP platform is transitioning to a Microservice-based architecture. At the heart of both solutions is GoldenGate for BigData. We are using a single server configured to run the replicats serving JSON payloads and Avro formats using same set of trail files. We implemented a custom java replicat to stream JSON messages to AWS Kinesis. We are using HDFS handler to stream data in Avro format to HDFS and AWS S3 to be consumed by AWS EMR, Hive on Tez/Presto/Spark. The solutions have been architected in a secure, reliable, and resilient manner.

Speakers

Vengata Guruswamy

Principal Database Administrator, LendingClub Inc

Venky Guruswamy is a seasoned database professional with over 15 years of progressive experience in various tech domains of banking, financial, retail, ecommerce primarily managing Oracle, Mysql, MongoDB ,Teradata databases. He is currently the Principal DBA at Lending Club leading... Read More →

Rajit Saha

Principal Software Engineer - BigData, LendingClub

Bigdata evangelist , having well round experience in BigData stack and building BigData platform from zero to production class.

Wednesday March 21, 2018 2:20pm - 3:10pm PDT
2-Rm 102

Big Data

Products Big Data Connectors, GoldenGate
Track Big Data

2:20pm PDT

Spark Streaming vs. Kafka Streams - two stream processing platforms compared

Independent of the source of data, the integration and analysis of event streams gets more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analyzed, often with many consumers or systems interested in all or part of the events. In this session we compare two popular Streaming Analytics solutions: Spark Streaming and Kafka Streams.
Spark is fast and general engine for large-scale data processing and has been designed to provide a more efficient alternative to Hadoop MapReduce. Spark Streaming brings Spark's language-integrated API to stream processing, letting you write streaming applications the same way you write batch jobs. It supports both Java and Scala.
Kafka Streams is the stream processing solution which is part of Kafka. It is provided as a Java library and by that can be easily integrated with any Java application.

Speakers

Guido Schmutz

Platform Architect, Trivadis

Guido Schmutz works for the Oracle Platinum Partner Trivadis. He has more than 30 years of technology experience. At Trivadis he leads the Trivadis Architecture Board. He has long-time experience as developer, coach, trainer, and architect in the area of building IT systems. In the... Read More →

Wednesday March 21, 2018 2:20pm - 3:10pm PDT
5-Rm 105

Big Data

Products Big Data Cloud Service (OBDCS)
Track Big Data, Analytics

3:25pm PDT

The Open Source and Cloud part of Oracle's Big Data for Beginners

There are zillions of Open Source big data projects these days. However, in this session you will learn about the core principles of 4 key technologies that are most often used in projects: Hadoop, Spark, Hive, and Kafka. We first explain the fundamentals of those 4 big data technologies. Then you will see how to make the first easy steps into the big data world yourself with Oracle Big Data Cloud Service Compute Edition and Oracle Event Hub Cloud Service live demos.

Speakers

Frank Munz

Director, munz & more

Frank Munz is an expert in middleware and distributed computing. He earned a Ph.D. in computer science from the Technische Universität München with summa cum laude for his work on distributed computing and brain research. He published more than 20 peer reviewed scientific papers... Read More →

Wednesday March 21, 2018 3:25pm - 4:15pm PDT
4-Rm 104

Big Data

Track Cloud Computing, Machine Learning, Big Data

4:30pm PDT

Setting up Oracle BI with Amazon Redshift

So you want to use Oracle Business Intelligence but your organization doesn't have an Oracle Database, or maybe you do but most of your data sources are stored in a warehouse such as Redshift or Snowflake.

At first glance it might seem that Oracle BI is no longer an option, but don't worry -- it is. In this presentation, we'll guide the audience through the nuanced complexity faced when installing a JDBC Driver for the purpose of connecting Oracle Business Intelligence to a database that isn't Oracle. While we use Redshift as an example, the shared insights will be helpful for anyone connecting Oracle BI to any warehouse or database.

Speakers

George Fraser

CEO & Co-founder, Fivetran

George Fraser is co-founder and CEO of Fivetran, a fully managed data pipeline built for analysts. Fivetran is a Y Combinator-backed company with over 350 customers relying on it to centralize their data. When Fivetran began in 2012, they realized that ETL tools were ill-equipped... Read More →

Wednesday March 21, 2018 4:30pm - 5:00pm PDT
5-Rm 105

Data Warehousing and SQL

Products Big Data Connectors, Big Data Preparation Cloud Service, Big Data SQL, Business Intelligence, Database as a Service (DaaS), Database Cloud Service, MySQL Cloud Service, Software as a Service (SaaS), Storage Cloud Service
Track Data Warehousing and SQL, Analytics, Big Data, Cloud Computing

8:45am PDT

Governance? Governance!! Ensuring Trust, Compliance and Collaboration

Join Oracle Engineering to hear real world use cases of how Oracle Customers have utilized Data Integration Platform Cloud – Governance Edition, DIPC-GE, as the foundation for data governance across their big data enterprise. This will include use case patterns, known pitfalls, as well as tips and tricks for future proofing your data governance investment. Oracle Engineering will review how our customers have utilized DIPC-GE to provide a proactive, trusted big data platform, which enables collaboration and enforces compliance across the enterprise. At the core of DIPC-GE is the data catalog which is used to create comprehensive catalog of data entities as well as business terms. The data catalog enables many advanced use cases within data governance, such as; data classification, data quality insights, data profiling, data lineage, impact analysis, AI/ML linkage of data assets to a business glossary, all with rich collaboration and built in flexible workflows and auditing. Join us!

Speakers

Jayant Mahto

Product Manager, Oracle

Jayant Mahto has been working with Data Integration for the past 20 years. His history in Oracle dates back 15 years ago first developing Business Intelligence Applications and then as product manager for the Oracle Data Integrator and Oracle Metadata Management products.

Thursday March 22, 2018 8:45am - 9:35am PDT
6-Rm 106

Data Warehousing and SQL

Products Data Integrator (ODI), Data Integrator Cloud Service (ODICS), GoldenGate, GoldenGate Cloud Service (GGCS)
Track Data Warehousing and SQL, Analytics, Big Data

8:45am PDT

New Machine Learning capabilities: Interacting with Spark DF in ORAAH

The newly redesigned ORAAH (Oracle R Advanced Analytics for Hadoop) brings a complete rewrite of it's I/O model, allowing for the use of a complete in-memory pipeline, from data transformation and loading all the way to Machine Learning models and predictions. In addition to that, a new transparency layer to Impala, plus the option to run HIVE on Spark queries, can keep the data always in-memory across different platforms. A new Extreme Learning Machine algorithm will be introduced, and enhancements on the Logistic and Linear Regression algorithms will increase scalability even more. Benchmarks with the new features will be presented on typical use cases by customers, from predicting flight cancellations and delays to Image Classification.

Speakers

Marcos Arancibia

Product Manager, Oracle Data Science and Big Data, Oracle

Marcos Arancibia is the Product Mgr for Oracle Data Science and Big Data, working with Machine Learning in the Oracle Database and on Hadoop/Spark clusters. He is charted with developing a comprehensive platform for enabling a new class of analytical workloads encompassing techniques... Read More →

Thursday March 22, 2018 8:45am - 9:35am PDT
1-Auditorium

Machine Learning

Products R Advanced Analytics for Hadoop (ORAAH)
Track Machine Learning, Big Data

8:45am PDT

Analyzing Blockchain and Bitcoin Transaction Data as Graph

Blockchain technology and Bitcoin will potentially revolutionize business transactions. Blockchain offers a robust, decentralized platform for privacy and trust. It underlies the digital crypto-currency Bitcoin, which can be exchanged freely and anonymously, without a central authority. Bitcoin transactions - recorded publicly, and growing at a rate of 100,000's of transactions per day - provide an invaluable dataset to gain insight into the behavior of digital currency and the underlying Blockchain technology. Blocks, transactions with potential multiple inputs and outputs, and flow of bitcoins between addresses, form a sophisticated real-time graph. This talk details a pipeline used to gather bitcoin transaction data and analyze it with powerful graph cloud database technologies.

Speakers

Xavier Lopez

Senior Director, Oracle

Xavier Lopez is Senior Director of Product Management in Oracle's Spatial and Graph products group. Over the last 20 years he has played a key role championing the development of spatial and graph database technologies in Oracle. He is currently focusing on the development... Read More →

Zhe Wu

Architect, Oracle

Zhe Wu is an architect working on semantic and graph technologies in Oracle USA. He leads the design, architecture, and development of the inference engine for W3C RDFS/SKOS/OWL in the database, Java APIs for RDF Semantic Graph, RDF triple-level security, SQL-based graph analytics... Read More →

Thursday March 22, 2018 8:45am - 9:35am PDT
3-Rm 103

Spatial and Graph

Products Big Data Cloud Service (OBDCS)
Track Spatial and Graph, Analytics, Big Data, Cloud Computing, Machine Learning

9:50am PDT

Analytic platform with a hybrid approach of home grown and vendor tools

Adopting any new technology is daunting, in addition to peer pressure, there is also a need to size up as data grows, all without breaking the bank. The original BIWA 2015 presentation was on how any IT shop can build a commodity Hadoop cluster with Dell servers, Redhat Linux, Infiband network cards and Cloudera HDFS. Most of the coding was in Java, and OLH (Oracle Loader for Hadoop) was used to load data into an Oracle 12c in-memory table (presented at OOW15). The expertise of Computer Science faculty, staff and students was used for the full project with vendor support.The group has since enhanced the cluster with SSD (Solid State Drives) and SPARK2, and written Python Spark Machine Learning code to analyze Gigabyte size aircraft logs. The visualization of the data using R-Oracle has been planned for the future.

Speakers

Abhinav Arya

Research Intern, Naval Postgraduate School

Arijit Das

Research Associate, Naval Postgraduate School

Arijit Das is a computer scientist with BS/MS degrees in Computer Science (MNREC, India & Oregon State University) and an MSEE from University of Nevada Las Vegas. He currently is a research faculty at the Computer Science Department of the Naval Postgraduate School in Monterey, California... Read More →

Jim Zhou

Researcher, NPS

Thursday March 22, 2018 9:50am - 10:40am PDT
4-Rm 104

Machine Learning

Products Big Data Connectors, Database In-Memory, Spark2, Python, Cloudera
Track Machine Learning, Analytics, Big Data

9:50am PDT

Ingesting streaming data into Graph database

This talk presents the experience of a customer project where we built a stream-based ingestion into a graph database. It is one thing to load the graph first and then querying it. But it is another story if the data to be added to the graph is constantly streaming in, while querying it. Data is easy to add, if each single message ends up as a new vertex in the graph. But if a message consists of hierarchical information, it most often means creating multiple new vertices as well adding edges to connect this information. What if a node already exists in the graph? Do we create it again or do we rather add edges which link to the existing node? Creating multiple nodes for the same real-life entity is not the best choice, so we have to check for existence first. We end up requiring multiple operations against the graph, which demonstrated to be a bottle neck. This talk presents the implementation of an ingestion pipeline and the design choice we made to improve performance.

Speakers

Guido Schmutz

Platform Architect, Trivadis

Thursday March 22, 2018 9:50am - 10:40am PDT
3-Rm 103

Spatial and Graph

Products Business Intelligence, Cloud Machine, Cloud Management Pack for Oracle Database, Database Cloud Service, Real Application Testing
Track Spatial and Graph, Analytics, Big Data

10:55am PDT

A real-world Use Case of Leveraging Fusion ERP Cloud : Enterprise Data Lake creation and Advanced Analytic

This is a real world use case from Grupo Bimbo, a 15B$ 32-country FMCG enterprise, where we present (a) how to create a Data lake on DBCS (a PaaS offering) from a SaaS application like Oracle ERP Fusion and (b) how to automate the extraction from Fusion, Ingestion into Data Lake both with full and incremental load and (c) performing advanced analytics in BDCS to support cross-functional analysis spanning multiple countries and products. Attendees will learn step-by-step how to achieve this – a must requirement from a load of Oracle Cloud SaaS customer.

Speakers

Jose Francisco Soto Aranda

Vice President : Enterprise Information, Grupo Bimbo

Thursday March 22, 2018 10:55am - 11:45am PDT
6-Rm 106

Cloud Computing

Track Cloud Computing, Big Data

10:55am PDT

Fake News, Trolls, Bots and Money Laundering -- Find the Truth with Graphs

Millions of dollars are spent every year on big data analysis of tweets, trends, Facebook commentary and social media sentiment. Detecting money laundering, fraud and other financial crimes becomes more difficult as the structure of shell corporations and the flow of transactions follow labyrinthine structures. Identifying suspicious activities, false information and fraudulent patterns is increasingly important in today’s information economy. See how graph analysis, database and visualization tools expose fabricated trends, troll and bot-created content and fraudulent financial transactions. Learn about the powerful graph capabilities in Oracle Spatial and Graph, Oracle Big Data Spatial and Graph and Oracle’s Cloud services.

Speakers

Sungpack Hong

Research Director, Oracle

Research Director at Oracle Labs.Leading projects regarding large-scale graph and data analysis -- platforms and applications

Jim Steiner

VICE PRESIDENT, ORACLE

Thursday March 22, 2018 10:55am - 11:45am PDT
3-Rm 103

Spatial and Graph

Products Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data, Cloud Computing

12:00pm PDT

Oracle Big Data SQL: What's happening under the covers?

You may have heard that Oracle Big Data SQL allows applications to query data across Oracle Database, Hadoop and NoSQL stores. This session will step you thru its architecture. You'll learn how Big Data SQL fits into the Oracle Database and Hadoop infrastructure, how it leverages standards for data access and how it optimizes query execution to achieve good performance. The session will help you understand how you can leverage your Oracle Database investment and effectively augment your analyses with data from across the big data stack.

Speakers

Martin Gubar

PM Director, Oracle

Thursday March 22, 2018 12:00pm - 12:30pm PDT
1-Auditorium

Big Data

Products Big Data SQL
Track Big Data, Data Warehousing and SQL

1:30pm PDT

Using Oracle R Enterprise for Event Registration Modeling and Propensity to Buy

Oracle Marketing Advanced Analytics team has been using Oracle R Enterprise(ORE) for propensity to buy modeling for the past few years. We have recently expanded our use of ORE to event registration. The models allow Oracle to target the right contacts for email marketing for product events. We have shown up to 4X increase in registration rates from model targets over the baseline. The presentation will cover an overview of the results of our modeling as well as some key insights we have learned on how to model using ORE.

Speakers

Joseph Darschewski

Sr. Data Scientist, Oracle

Sr Data ScientistOracle Marketing Advanced AnalyticsMS Statistics15+ years experience

Thursday March 22, 2018 1:30pm - 1:55pm PDT
1-Auditorium

Machine Learning

Products Advanced Analytics (OAA), Data Mining (ODM), R Enterprise (ORE)
Track Machine Learning, Analytics, Big Data

1:30pm PDT

Why IoT is the killer use case for AutoML

While AI/ML has matured enough to solve many real-world problems effectively, this process typically requires close interactions between three separate skill sets – the domain expert, the data scientist and the programmer. A typical IoT user is a line-of-business person such as a Plant Supervisor or a Fleet Manager. AutoML enables automatic selection of the most appropriate algorithm that suits the domain problem learned based on the interactions with domain expert. Also, AutoML automatically selects the hyper parameters and tunes the models without requiring data scientist skills. Furthermore, AutoML automates the repetitive analytics needed for retraining models warranted by the high velocity IoT data. Therefore, AutoML is the key enabler of analytics in the industrial IoT. Since the typical business benefits in IoT involve significant savings, IoT is the killer use case for AutoML. We will present how Oracle IoT Cloud applies AutoML for industrial IoT problems.

Speakers

Viji Krishnamurthy

Sr. Director - Data Science, IoT and Blockchain Products, Oracle

Viji has over 16 years of experience as head of data science, analytics product management, product development and operations leader in Enterprise Software, Blockchain, IoT and Consumer Electronics industries. Viji holds patents on ML/AI implementations in supply chain, industrial... Read More →

Thursday March 22, 2018 1:30pm - 2:20pm PDT
6-Rm 106

Internet of Things

Track Interet of Things, Analytics, Big Data, Machine Learning

1:55pm PDT

Oracle Machine Leaning & Adaptive Intelligent Applications for Manufacturing

In this session learn about Oracle's soon to be released prepackaged "SaaS on PaaS" cloud applications called "Adaptive Intelligent Applications for Manufacturing". This product is built directly on top of several Oracle’s PaaS components to collect, store, and analyze massive amounts of Operational Technology (OT) data coming from shopfloor systems such as MES, quality systems, LIMS, Equipment, Test stations and contextualizes this data with Information Technology (IT) data residing in HCM/CRM/SCM/ERP applications in a single consolidated operational data store and analyzed by applying advanced analytics, data mining/data science, and AI techniques to discover key patterns and correlations from historical data related to manufacturing efficiencies and also provide actionable predictive analytics to improve yield, reduce defects, reduce scrap, minimize cycle times, manufacturing costs, and equipment downtime.

Speakers

Gopal Ratnam

Sr. Director, Product Management & Strategy, Oracle

Software leader with proven track record of product ideation, execution, and management of cutting edge SaaS solutions that enable business and digital transformation for enterprises. Drive performance through dynamic leadership, strategic planning, process design, product innovation... Read More →

Thursday March 22, 2018 1:55pm - 2:20pm PDT
1-Auditorium

Machine Learning

Products Advanced Analytics (OAA), Analytics Cloud (OAC), Data Mining (ODM), Database as a Service (DaaS), Internet of Things Cloud Service, NoSQL Database Enterprise Edition, Platform as a Service (PaaS)
Track Machine Learning, Big Data, Internet of Things

1:55pm PDT

Measuring Published Citation using Graph Modeling and Analysis

Research organizations, along with their funding agencies, routinely need to measure the performance of their organization. The application of scientific citation indexing is a widely used metric for evaluating the success of a research organization. This paper highlights the novel use of graph modeling, analytics and visualization to improve this metric of scientific performance. Our approach models an index of published scientific publication and citations as a connected graph. We used the Oracle in-memory graph analytics engine (PGX) to carry out graph analysis, statistical inferencing, and visual exploratory analysis. Our results illustrate how these graph modeling combined with statistical analysis, such as stochastic block model (SBM), can improve the measurement and evaluation of scientific research.

Speakers

Keisuke Honda

Research Administrator, The Institute of Statistical Mathematics

Keisuke Honda, Ph.D. is a Research Administrator in The Institute of Statistical Mathematics at Tokyo, Japan, where he works to enhancement research collaboration with industry and to promote several HPC projects. He leads project which is to develop new criteria to measure research... Read More →

Mio Takei

Project Senior Technical Support Specialist, The Institute of Statistical Mathematics

Mio Takei is a Technical Specialist in Analytics at The Institute of Statistical Mathematics, Tokyo, Japan. She has previously worked as a consultant specializing in Business Intelligence and Analytics at Oracle Japan.

Thursday March 22, 2018 1:55pm - 2:20pm PDT
3-Rm 103

Spatial and Graph

Track Spatial and Graph, Analytics, Big Data

2:30pm PDT

How Search Augments Analytics

Traditional Business intelligence (BI) has delivered a great value to organizations, enabling them to better data-based decision making. However, today the speed to make business decisions has outpaced the traditional BI's ability to adapt and answer quickly new questions.

In this talk we introduce a very powerful engine like Apache Solr and demonstrate how easy it is to set it up and start getting answers right away. Since a picture is better than a thousand words we will also introduce Banana (a fork of Kibana) as its graphical front end for data analysis.

Finally, We will also discuss about Solr Analytics 2.0 which, provides the ability to search on live data perfectly complementing the use of a traditional data warehouse database.

Speakers

Jorge Anicama

Manager, PwC

Over 16 years of experience in all phases of Architecting, implementing, and supporting BI and Data Warehousing solutions for customers in the USA, Europe and Latin America. Worked with many industries including Banking, Insurance, Telco, and Retail.

Jean-Pierre Dijcks

Master Product Manager, Oracle

Thursday March 22, 2018 2:30pm - 3:20pm PDT
4-Rm 104

Big Data

2:30pm PDT

Blockchain for Supply Chain Delivery

This is a joint solution being developed between global companies like Saison-Hulft, Oracle, GE and Globalsign. This uses IoT and Blockchain to address the delivery and security issues in package delivery. The use of Hyper Ledger Fabric-based Blockchain service along with TPM 2.0 (Trusted Platform Module) for security, creates a system where information cannot be tampered with. This group of companies is building the prototype of this solution such that it is integrated with Oracle SCM and Oracle Transportation Manager where applicable, to allow the enterprise integration of the Blockchain solution. The initial use will be for package delivery via lockers and additional use cases apply to shipping container, bank lockers and related areas.

Speakers

Kiyosada Honma

Blockchain & IoT lead, Saison Infomation Systems

He is leading technical teams for new generation technology in Saison Information Systems and leading IoT projects with Blockchain technology globally with many global companies. He is in IT t1echnology industry long time, he has worked for companies like Microsoft, Symantec and IBM... Read More →

Shyam Varan Nath

Enterprise Cloud Architect, Oracle

Thursday March 22, 2018 2:30pm - 3:20pm PDT
1-Auditorium

General

Products Infrastructure as a Service (IaaS)
Track General, Big Data

2:30pm PDT

Spatial Analytics with Spark & Big Data

Sensor feeds and social media data contain much latent location information such as addresses, place names, and GPS coordinates. How can you uncover those location relationships and patterns for better business insights? How can build applications to track moving objects in real time? Learn about spatial technologies for Spark, Hadoop, and NoSQL, and how to build analytic applications using Java. Oracle Big Data Spatial and Graph offers a set of analytic algorithms, services, and data models that support big data workloads. Data scientists and developers can be more productive by using dozens of prebuilt spatial functions and services. Users can harmonize data and group results based on spatial relationships, track moving objects, and apply spatial services to cleanse, filter, normalize, and process geospatial data sets, and easily perform spatial queries with new Hive and Spark SQL features.

Speakers

LJ Qian

Director, Software Development, Oracle

Dr. Liujian (LJ) Qian obtained his Ph.D from Penn State, and Master's degree from the Institute of Computing Technology, Academia

Siva Ravada

Senior Director of Engineeting, Oracle, USA

Thursday March 22, 2018 2:30pm - 3:20pm PDT
3-Rm 103

Spatial and Graph

Products Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data

3:40pm PDT

Using GeoJSON in the Oracle Database

Location and other geographical information is traditionally stored in Oracle databases using specialized data types, such as the SDO_GEOMETRY type. That data type is powerful and flexible, but can be difficult to use. A modern alternative is to use a JSON-based encoding, called GeoJSON instead. GeoJSON is a lightweight format suited to data exchange and transfer, popular for reading and publishing spatial data on the Web, in Big Data, and for the Internet of Things.

This session will explain the way GeoJSON encodes a variety of geographical objects, from simple points to complex multi-polygonal structures. It will also explain how those structures can be indexesd, and how they can be used in spatial analytics, in isolation or in conjunction with classic SDO_GEOMETRY types.
Finally we will show how the GeoJSON objects can be displayed on a map.

Speakers

Albert Godfrind

Spatial and Graph Solutions Architect, Oracle

Albert Godfrind has over 25 years of experience in designing, developing, and deploying IT applications. His interest and enthusiasm for spatial information and geographical information systems started at Oracle when he started using the spatial extensions of the Oracle database in... Read More →

Thursday March 22, 2018 3:40pm - 4:05pm PDT
3-Rm 103

Spatial and Graph

Products Database Enterprise Edition, Spatial and Graph (OSG)
Track Spatial and Graph, Analytics, Big Data, Internet of Things

3:40pm PDT

Add Streaming Analytics to your Legacy Application with Apache Kafka

While relational databases are still the king of transactional processing systems, they have a hard time keeping up with the increasing demand for real-time analytics. In this session we will build and demonstrate an end-to-end data processing pipeline. We will discuss how to turn changes in database state into events and stream them into Apache Kafka. We will explain the basic concepts of streaming transformations using windows and KSQL before ingesting the transformed stream in a dashboard application. And lastly we will explore the possibilities of adding microservices as subscribers.

Speakers

Stewart Bryson

Owner, Red Pill Analytics

Bjoern Rost

Consultant, Pythian

Björn Rost is an Oracle ACE Director, and one of Pythian’s top Oracle experts. A popular presenter, Björn travels the world attending technology conferences, sharing insights, and learning with his wide network of peers. Björn also served as president of IOUG’s RAC special... Read More →

Thursday March 22, 2018 3:40pm - 4:30pm PDT
1-Auditorium

Big Data

Track Big Data, Analytics

4:05pm PDT

Enhance the Value of Dark Data - Unstructured Text

DarkdataSpot® creates Guidance-Seeking queries to find better answers faster and create efficiencies which ultimately leads to confident decisions that deliver rapid return on investment (ROI). Live Demo: https://www.youtube.com/watch?v=fAorPSVjVYU

Speakers

Albert Rojas

Founder, DarkdataSpot.com

Albert Rojas Enterprise Software Sales Engineer | Big Data | Self Service JPMorgan Chase & Co.University of California, San DiegoGreater New York City Area 500+ 500+ connections

Thursday March 22, 2018 4:05pm - 4:30pm PDT
3-Rm 103

Machine Learning

Track Machine Learning, Big Data