Apache HBase Data Model and Architecture

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About this Course

This course covers HBase data model and architecture - knowledge required before going on to design HBase schemas and develop HBase applications. You will learn how relational databases differ from HBase and examine some typical HBase use case categories. Data model and HBase architectural components, and how they work together, are covered in depth. Also covered is MapR-DB architecture and how it differs from HBase. Concepts are conveyed through scenarios and hands-on labs. This course is intended for data analysts, data architects, and application developers.

What’s Covered in the Course

1: Introduction to Apache HBase

Differentiate Between RDBMS and HBase
Identify Typical HBase Use Cases

Lab Activities

No Lab

2: Apache HBase Data Model

Describe the HBase Data Model and its Components
Describe How Logical Data Model Maps Physical Storage on Disk
Use Data Model Operations
Create an HBase Table

Lab Activities

Perform CRUD Operations with the HBase Shell
Create a MapR-DB Table Using the MCS

3: Apache HBase Architecture

Identify the Components of an HBase Cluster
Describe How the HBase Components Work Together
Describe How Regions Work and their Benefits
Define the Function of Minor and Major Compactions
Describe Region Server Splits
Describe How HBase Handles Fault Tolerance
Differentiate MapR-DB from HBase

Lab Activities

No Lab

Classes

If you are interested in this or any other instructor-led course (live-virtually or on-site), please email us at es-ilt@mapr.com.

Get Certified

This course is part of the preparation needed for the MapR Certified HBase Developer (MCHBD) certification exam.

Prerequisites

Completion of the on-demand courses: ESS 100 - 102
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