About this course
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 course builds on DEV 320 and 325 - HBase Data Model and Schema Design. This is a continuation of DEV 330 - Developing HBase Applications: Basics.
Right for you?
- For data analysts and developers who have experience with Java programming
Are you ready?Yes, if you have:
- Taken ESS 100 – Introduction to Big Data, DEV 320 - HBase Data Model and Architecture, DEV 325 - HBase Schema Design, and DEV 330 - Developing HBase Applications: Basics.
- A Linux, PC or Mac with a MapR Sandbox with Apache Drill downloaded
This course helps prepare you for the MapR Certified HBase Developer (MCHBD) certification exam
SyllabusLesson 4: Advanced HBase Java API
- Single column counter
- Multiple column counters
- Using filters in an application
- Using counter increment for row transactions in an application
Lesson 5: Time Series and Social Applications
- Review of HBase Data Model and Schema Design
- Explanation of Time Series and Social Application implementations
- Programming a time series application
- Programming a social application
Lesson 6: MapReduce on HBase
- How is MapReduce used on HBase?
- How to program MapReduce applications for HBase
- Reading from HBase and writing back daily statistics
MapR Sandbox with Drill
Advice from the front.
DEV 320 - HBase Data Model and Architecture
DEV 325 - HBase Schema Design
DEV 330 - Developing HBase Applications