This certification demonstrates proficiency in the installation, administration, and maintenance of a clusters in the MapR Converged Data Platform.
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.
This introductory-level course teaches the core concepts necessary to understand and begin using MapR Streams to develop big data processing applications.
This is the fourth and final course in the Cluster Administration curriculum. This course teaches you how to configure cluster settings, monitor the cluster, resolve issues, and optimize cluster performance.
ADM 202 is the third course in the Cluster Administration curriculum. This course defines methods for data ingestion, and covers the use of snapshots and mirrors.
This is the first course in the Cluster Administration curriculum. This course covers pre-installation testing and verification, installing a MapR cluster, and performing post-installation benchmarking.