Lesson 10: Java API Advanced Topics
Lesson 11: Working with MapReduce
- Course Materials
Slide Guide (Transcript)
Lab Environment Connection Guide
Developing Apache HBase Applications: Advanced
Targeted towards data architects and application developers who have experience with Java, the goal of this series of courses is to learn how to write HBase programs using Hadoop as a distributed NoSQL datastore.
This is the fourth course the Apache HBase Series from MapR.
|Course Lessons||Lab Activities|
10: Java API Advanced TopicsDefine Different Filter Types and Apply Them to Applications
Use Counters on Incremental Occurrences
Java Applications Using Filters
Java Applications Using Increment
11: Working with MapReduceDescribe MapReduce
Describe How MapReduce is Used on HBase
Develop MapReduce Applications for HBase
Developing MapReduce Applications for HBase
This course is part of the preparation for the MapR Certified HBase Developer (MCHBD) certification.
- Completion of the MapR Academy on-demand courses: ESS 100 - 102, DEV 320 and 322
- A Linux, PC or Mac
- Basic Hadoop knowledge and intermediate Linux knowledge
- Experience using a Linux text editor such as vi and Linux commands like mv, cp, ssh, grep, and useradd
- Prior experience with SQL is preferred but not required