On-demand Training for Big Data Professionals

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With over 84,000 registered learners, you can trust MapR Academy Essentials to offer best-in-class training. You’ll find introductory to advanced courses on big data topics, Apache Hadoop projects and the components of the MapR Converged Data platform.

  • Essentials courses are short introductions to Hadoop and big data technology topics. Valuable for business decision makers, technical practitioners and anyone new to MapR-DB, MapR FS, the Converged Data Platform, Hadoop and general big data topics.

  • Academy Essentials courses are interactive, mobile-responsive and always free. Open for business 24/7/365.

Available courses

This course introduces students to the basics of big data. Students will learn about big data concepts and how different tools and roles can help solve real-world big data problems.

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This course introduces the Hadoop Distributed File System and MapReduce, then covers several open source ecosystem tools such as Apache Spark, Apache Drill, and Apache Flume. Finally, these tools are applied to real-world use cases.

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This course introduces you to the basics of the MapR converged data platform. You will learn about the core components, features, and benefits of the MapR Converged Data Platform. You will also learn use cases about how various types of businesses can use the MapR Converged Data Platform.

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This course is designed to introduce students to the basics of Apache Hadoop. The course begins with a brief introduction to the Hadoop Distributed File System and MapReduce, then covers several open source ecosystem tools such as Apache Spark, Apache Drill, and Apache Flume. Finally, these tools are applied to real-world use cases.

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This free, on-demand course is designed to be flexible to fit your schedule. The lesson and quiz takes approximately 30 to 45 minutes to complete. This course introduces students to to the basics of batch processing with MapReduce.

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This course introduces students to the evolution of various database types, from the traditional RDBMS to NoSQL databases like Apache HBase, and now with MapR-DB with OJAI. It compares features and performance between these different database types. Learners will also learn about specific features and advantages of MapR-DB.

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Course provides an intro to Streams, compares/contrasts real-time and batch processing, and describes key components of MapR Streams.

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This course is an introduction to Apache Spark, describing Spark’s features and components.

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This course provides an overview of Apache Drill, explores Drill’s key features, and reviews data types and formats.

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In this course, you will learn the history of Apache Hive, understand several Hive use cases, how it fits in the data pipleline, and which data types you can query.

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You will learn what Apache Pig is, what is it used for, how it fits in the data pipeline, and the Pig data types.

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See the additional courses available through MapR Academy Pro.