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R Advanced Analytics for Hadoop (ORAAH) [clear filter]
Tuesday, March 20
 

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
avatar for George Lumpkin

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
 
Thursday, March 22
 

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
avatar for Marcos Arancibia

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
 

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