Big Data for Oracle Developers - Towards Spark, Real-Time Analytics & Predictive Modeling

Most Oracle DBAs and developers associate Hadoop and Big Data technologies with cheap offload storage and processing for their data warehouse, but recent advances in the platform bring in-memory, real-time analytics capabilities to Hadoop along with machine learning, predictive modeling and automatic schema detection - all of which will eventually make their way to Oracle Big Data Appliance. 
Come and hear what these new technologies can bring to your Oracle Big Data and Data Warehousing platforms.

Unlock the Value in your Data Reservoir using Oracle Big Data Discovery

Organisations implementing big data projects often find it difficult to scale beyond the initial prototype due to lack of data scientist skills and the manual work involved in transforming, cataloging and combining datasets. In this presentation we'll see how Oracle Big Data Discovery provides a visual face for Hadoop and "democratises" the data scientist role within your organization, and opens the door to areas such as predictive modelling, spatial and social network analysis and integration with Oracle Data Visualization.

What's New in Oracle BI and Analytics in 2016?

Last year saw the release of OBIEE12c along with updates to Oracle BI Apps, Essbase, Exalytics and Big Data Discovery. This year sees updates to these platforms as well as new revisions to BI Cloud Service and Data Visualisation Desktop and Cloud Service. 
In this session we'll look under the covers at these new releases and see what's significant, and look at how Oracle's BI platform may evolve over time to support hybrid and user-driven deployments