MapR Unveils Free, Complete Apache Spark Training and Developer Certification

SOURCE: MapR Technologies, Inc.

New York, NY – February 17, 2016 –MapR Technologies, Inc., provider of the industry’s only converged data platform, today announced at Spark Summit East 2016 it is now offering a free, complete online Spark curriculum via MapR Academy’s On-Demand Training, leading to developer certification in Spark. The company also made available a preview of Spark 1.6 for developers to test on the MapR Converged Data Platform.

“There is tremendous momentum propelling Spark, largely because of the benefits it provides for batch, interactive and streaming applications,” said Suzanne Ferry, vice president, global training and enablement, MapR Technologies. “We continue to evolve the coursework offered in our free On-Demand Training program to meet the learning needs of developers, data analysts and administrators.”

Free Spark Coursework Leading to Certification

The MapR Academy’s free online Spark curriculum includes a Spark certification study guide and access to the Spark certification exam. Usually priced at $250, MapR is currently offering the MapR Certified Spark Developerexam for only $100.

The Spark training coursework includes the following:

DEV360 – Apache Spark Essentials

DEV361 – Build and Monitor Apache Spark Applications

DEV362 – Create Data Pipelines using Apache Spark

Spark Certification Study Guide

Spark Certification Exam – MCSD  (fee required)

The on-demand training for Spark enables developers to prepare for the MapR Certified Spark Developer (MCSD) exam. This industry credential validates a developer’s technical knowledge, skills and abilities to use Spark in an enterprise environment to process large datasets. Specifically, the MCSD-certified developer can use Spark to load and inspect data, build Spark applications, work with Pair RDD and Dataframes, monitor Spark application performance, and do advanced programming using MLLib.

More than 50,000 professionals have enrolled in MapR Academy’s On-Demand Training. The courses offer the same depth and content as instructor-led training courses, and include hands-on exercises, labs and quizzes to ensure an effective, interactive learning experience.

Visit here to see the full list of courses, certifications and to sign up for free classes.

Spark 1.6 Preview

The Spark 1.6 Developer Preview incorporates the latest functionality in Apache Spark for developers and data scientists to test on the MapR Converged Data Platform.  Developers have access to the latest advancements in Spark on the most reliable and enterprise-grade Hadoop platform. More details on Spark 1.6 can be found on this blog.

To download a preview of Spark 1.6, visit here.

MapR at Spark Summit East 2016

MapR is proud to be a Silver Sponsor of Spark Summit East 2016. Stop by MapR booth K5. For more information or to register, visit here.

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About MapR Technologies

MapR provides the industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.