The Essentials series of courses is intended for anyone interested in getting started with big data, Apache Hadoop, or MapR.
This course is designed to introduce students to the basics of the MapR Converged Data Platform. At the end of the course, students will have some of the fundamental knowledge necessary for other MapR Academy courses.
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.
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.
This course is targeted towards developers and administrators to give them the core concepts necessary to build simple MapR Streams applications.
A series of courses designed to introduce developers to real-time messaging and stream processing with MapR Streams.
This introductory-level course teaches the core concepts necessary to understand and begin using MapR Streams to develop big data processing applications.
This course is the third in the Apache Spark series. In this course, you cover the following Apache Spark libraries - Spark Streaming, Spark SQL, Spark MLlib, and Spark GraphX. This course describes the benefits of the Apache Spark unified platform and how to build a data pipeline application using Spark Streaming, Spark SQL, Spark GraphX, and MLlib. The concepts are taught using scenarios in Scala that also form the basis of hands-on labs.
The MapR Certified Spark Developer credential is designed for Engineers, Programmers, and Developers who prepare and process large amounts of data using Spark. The certification tests your ability to use Spark in a production environment; where coding knowledge is tested, we lean toward the use of Scala for our code samples.
This course enables developers to get started developing big data applications with Apache Spark. In the first part of the course, you will use Spark’s interactive shell to load and inspect data. The course then describes the various modes for launching a Spark application.