Since 1999, Oracle has included a Java Virtual Machine (JVM) within the database. That makes it old enough to drive and well past time to get a real job. In today’s data-obsessed world, that job is fortifying Oracle’s database with a healthy dose of analytics to give your database the power to handle the data challenges of the 21st century.

There are numerous advantages to adopting a 100% Java code base for in-database analytics. Security is doubly enhanced by performing all analytics in the database. The code is highly portable as the identical java classes that run in the database will run on any client with any operating system. Plus the modern paradigm of taking the algorithms to the data is elegantly achieved with minimal effort.

Until now, a single Java solution with all these qualities wasn't available. By using IMSL Numerical Libraries for Java (JMSL), you get a suite of algorithms with routines for predictive analytics, data mining, regression, forecasting, and data cleaning. JMSL is scalable and can be used in Hadoop MapReduce applications. Now, JMSL Numerical Libraries makes Java in the database more than useful -- it makes it unbeatable.

This webinar walks through the argument of why embedded analytics is better and provides examples using an Oracle database and JMSL. 

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