Moving an ever growing mountain of data in and out of databases for analysis takes huge resources when today’s firms must find new ways to do more with less. The answer? Bring the algorithm to the data and leverage the power of Oracle’s In-Memory option, as well as the existing in-database analytical options, OLAP, Spatial, Data Mining, and Oracle R Enterprise. We provide the cutting edge of analytics and explain how and why business intelligence performance is exponentially faster when you crunch your numbers inside the Oracle database. 


Presentations

Oracle Big Data Science

Oracle offers data scientists and those with an Oracle background who are interested in learning data science the opportunity to perform highly sophisticated analytics on humongous data sets without requiring years of specialized study and arcane knowledge acquisition. Using Oracle Big Data Discovery, Oracle Big Data SQL, and Oracle R Advanced Analytics for Hadoop complement each other exceptionally well and provide an extraordinary capability unmatched by patchwork systems cobbled together. You'll see how to conceptualize and approach analytics common to most every organization and understand which tools to use in what order. Like other scientific disciplines, data science requires a thorough and well-grounded approach to the analysis and understanding of data. You'll see how to use Oracle's most powerful tools for processing massive data sets in Hadoop.

Analyzing Big Data

Moving an ever growing mountain of data in and out of databases for analysis takes huge resources when today's firms must find new ways to do more with less. The answer? Bring the algorithm to the data and leverage the power of Oracle's new In-Memory option, as well as the existing in-database analytical options, OLAP, Spatial, Data Mining, and Oracle R Enterprise. This session will review the cutting edge of analytics and explain how and why business intelligence performance is exponentially faster when you crunch your numbers inside the Oracle database.