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Embedding Analytics into a Database Using JMSL 

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Responding to the many challenges of Big Data means coming up with specific tactics and tools for specific problems, such as using Hadoop and the MapReduce framework for storing and processing very large data sets. Hadoop embodies one of the fundamental changes in Big Data, bringing the algorithms to the data instead of separating the analysis from the storage. One specific tactic to bring the algorithms to the data is to embed analytics into the database. This paper presents a walkthrough, with code samples, of how to embed JMSL predictive analytics into an Oracle 12c database, using the Naive Bayes classifier algorithm and an example test data set. The complete Java code for this exercise is presented in the appendix.

Sponsor: Rogue Wave


Beyond RDBMS: A Guide To NoSQL Databases

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In this webinar, Glynn Bird discusses the performance tradeoffs of NoSQL and relational databases, data modeling in a schemaless system, common transactional architectures for applications built on NoSQL, and when you should consider managed, hosted solutions like Cloudant. Watch now!

Sponsor: IBM


Why NoSQL?

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In a world where the pace of software development is faster and data and piling up, how you architect your data layer to ensure a global user base enjoys continual access to data is more important than ever. Download this new whitepaper now to explore: - Why the new category of NoSQL databases has become a popular option - The various types of NoSQL databases available today - Differences and commonalities of NoSQL databases - Why you should consider implementing a NoSQL solution

Sponsor: IBM


Key Benefits of In-Memory vs. Traditional Databases when it comes to Deep Data Analytics

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This report will show you the differences between traditional and in-memory databases and will explain how you derive business value and actionable insights from Big Data. Download the report In-Memory Databases Put the Action in Actionable Insights by Wikibon to learn more.

Sponsor: IBM


Six Reasons to Upgrade Your Database

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Effectively using and managing information is critical to driving new business and streamlining operations in the big data era. This ebook presents six reasons to consider a database change to address those challenges, including opinions from industry analysts and customer experiences.

Sponsor: IBM


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