Classroom and Virtual Instructor-led Training
Prefer to take training with an Instructor? MapR Academy offers instructor-led courses in both traditional and virtual classroom formats. All courses led by dynamic instructors, experts in their subject area, certain to engage and inform.
Want to bring the training to your team, on site at your venue? Visit the Onsite Training detail page to learn more.
The Essentials series of courses is intended for anyone interested in getting started with big data, Apache Hadoop, or MapR.
|May 3 - 5
|£1695 (+ VAT)||Register|
This introductory course teaches administrators the essential skills required to install, configure, monitor and maintain a MapR Hadoop cluster. You will learn how to test hardware for performance consistency, install the MapR Converged Data Platform, create baseline benchmarks, configure a cluster, and perform basic maintenance.
This course goes through the process of upgrading a MapR cluster: from creating an upgrade plan and performing pre-upgrade tests, to upgrading MapR and patching core software, ecosystem components, and MapR clients.
This course is designed to teach developers how to write effective MapReduce applications. Every lecture is accompanied by a hands-on exercise.
This course introduces the concepts of NoSQL technologies, HBase architecture, schema design, performance tuning, bulk-loading of data, and the storing of complex data structures to Data Analysts, DBAs, and developers.
Learn how to architect and write HBase programs using Hadoop as a distributed NoSQL datastore. This course introduces HBase architecture, the HBase data model, and the most important APIs for writing programs. The course also introduces schema design, performance tuning, bulk-loading of data, and storing complex data structures.
A series of courses designed to introduce developers to real-time messaging and stream processing with MapR Streams.
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.
|Feb 20 - 21
|199,000 yen (+ tax)||Register|
This introductory Apache Drill course, targeted at Data Analysts, Scientists and SQL programmers, covers how to use Drill to explore known or unknown data without writing code, and describes how a query is received and executed by Drill.
This course covers how to use Pig and Hive as part of a single data flow in a Hadoop cluster. You will learn to manipulate data in Pig and perform some basic data analysis on it in Hive.
This certification demonstrates proficiency in the installation, administration, and maintenance of a clusters in the MapR Converged Data Platform.
This certification exam measures and validates the technical knowledge, skills and abilities required to write HBase programs using HBase as a distributed NoSQL datastore. This exam covers HBase architecture, the HBase data model, APIs, schema design, performance tuning, bulk-loading of data, and storing complex data structures.
This certification exam measures the specific technical knowledge, skills and abilities required to design and develop MapReduce programs in Java. This exam covers writing MapReduce programs, using MapReduce API, managing, monitoring and testing MapReduce programs and workflows.
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.