Learn How to Develop Apache Spark Applications Using Datasets, Data Frames and Standard Operations With Hands-on Labs, Using Scala
Santa Clara, Calif. – September 5, 2018 — MapR Technologies, Inc., provider of the industry’s leading data platform for AI and Analytics, today announced three new, free on-demand courses from MapR Academy on Apache Spark v2.1.
The new courses will help developers with a Java or Scala background get an introduction to Apache Spark while learning about the full Spark program lifecycle and SparkSession, along with how to build and launch standalone Spark applications. The series prepares developers for the MapR Certified Spark Developer v2 exam (MCSD). Additionally, MapR offers a free MCSD v2.1 study guide and a discount on the certification exam. To learn more and register, visit here.
“Becoming an MCSD v2 tells the world that you have the skills it takes to produce value from real time streaming data in your organization,” said Gary Fluitt, director, certification at MapR. “This is an important credential in showing your expertise in developing modern Spark applications.”
Introduction to Apache Spark – Developers will learn to build simple Spark applications for Apache Spark version 2.1, using Spark’s interactive shell to load and inspect data. Attendees will learn about the various modes for launching a Spark application. Also covered are working with DataFrames, datasets, and User-Defined Functions (UDFs).
Build and Monitor Apache Spark Applications – This course is designed to teach the full Spark program lifecycle and SparkSession, along with how to build and launch standalone Spark applications. Also covered are the components of the Spark execution model using the Spark Web UI to monitor Spark applications.
Advanced Apache Spark – Attendees will learn how to build data pipeline applications using Spark Streaming, Spark SQL, Spark GraphFrame and MLlib. Other topics include; Spark Streaming architecture, data pipeline use cases, DStreams, and property graph operations. This is the third and final course in the Apache Spark v2.1 Series.
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MapR Technologies, provider of the industry’s leading data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR ecosystem. For more information, visit mapr.com.
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