Analytics and Data Summit 2018

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.

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.

One of the biggest ongoing discussion points, and in fact a key decision factor to be bedded down prior to implementing a BI, Analytics application is whether it should be implemented as an on premises system, or as a cloud solution. We have come fairly quickly from a place where we had hardware on raised pallets in dark corners of basement floors. By contrast, we are now in the place where as far as possible, the business attempts to give the individual user access to self-served information on their personal device, at any time. The analogy I often use for this is one where my Grandfather one day clung to one end of a firmly planted Tulip and said to me; “ Look how strong I am, I have the world on the other end of this!” The internet used to be the domain of the few, and now it is almost impossible for an individual to function without it. In this discussion I will cover some fairly weighty topics, but in plain ‘ol English! This discussion is for Senior Executives in Finance or IT.

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.

No hype cycles or predictions of a gazillion things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen! We present a step-by-step plan to develop your technology implementation strategy on the Oracle Cloud. We discuss the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud technical architecture, IoT platform selection, end-to-end security, enterprise systems integration and monetization techniques. Seize market opportunities by following our methodology to design and implement a systems architecture that meets complex demands for security, flexibility, durability, and scalability.

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.

Modern global supply chains are highly complex ecosystems. Despite decades of innovations to streamline and optimize operations, companies still consistently face challenges with end-to-end visibility, product tracking, bootlegging, fraud, compliance, safety, and delivery speed. Supply chain-related crimes and disruptions cost companies billions of dollars annually across the globe.

This session showcases how blockchain, IoT and machine learning can be harnessed to fight some of the key supply chain risks and challenges of today.  When implemented right, this solution improves customer trust, minimizes losses and optimizes end to end operations. The session will cover the use cases, technical architecture and implementation considerations.