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Posted on April 29, 2016 by Mathieu Dumoulin

There are many options for monitoring the performance and health of a MapR cluster. In this post, I will present the lesser-known method for monitoring the CLDB using the Java Management Extensions (JMX).

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Posted on April 19, 2016 by Nicolas Perez

In this blog post, you'll learn how to do some simple, yet very interesting analytics that will help you solve real problems by analyzing specific areas of a social network. Using a subset of a Twitter stream was the perfect choice to use in this demonstration...

Posted on April 28, 2016 by Crystal Valentine

Technological innovation is one of the great stories of the 21st century. Over the past 15 years, technology companies have generated unprecedented wealth at a blistering pace, fueled by smart and capable teams of brilliant scientists and engineers.

Posted on April 27, 2016 by Mathieu Dumoulin

We have experimented with on a 5 node MapR 5.1 cluster running Spark 1.5.2 and will share our experience, difficulties, and solutions on this blog post.

Posted on April 27, 2016 by Sean O’Dowd

We are honored to announce that MapR was named one of the Top 10 Banking Analytics Solution Providers for 2016 by Banking CIO Outlook magazine.

Posted on April 25, 2016 by Ellen Friedman

Organizations embracing big data are ready to put data to work, including looking for ways to effectively analyze data from a variety of sources in real time or near real time.

Posted on April 22, 2016 by Carol McDonald

This post will show how to integrate Apache Spark Streaming, MapR-DB, and MapR Streams for fast, event-driven applications.

Posted on April 21, 2016 by Leon Clayton

In this article we will explore what it means to have a converged data platform for building and delivering business applications. This sample application will be to create blog articles for a personal website.

Posted on April 20, 2016 by Nick Amato

One of the most useful things to do with machine learning is inform assumptions about customer behaviors. This has a wide variety of applications: everything from helping customers make superior choices (and often, more profitable ones), making them contagiously happy about your business, and building loyalty over time.

Posted on April 19, 2016 by Nicolas Perez

In this blog post, you'll learn how to do some simple, yet very interesting analytics that will help you solve real problems by analyzing specific areas of a social network. Using a subset of a Twitter stream was the perfect choice to use in this demonstration...

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Featured Author

Solutions Architect, MapR
Carol has extensive experience as a developer and architect building complex mission critical applications in the Banking, Health insurance and Telecom Industries. As a Java Technology Evangelist at Sun Microsystems, Carol traveled all over the world speaking at Sun Tech Days, JUGs, Companies, and Conferences. She is a recognized speaker in Java communities.

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