Cloudera Training for Apache HBase

2 days.

• Understand the HBase architecture
• Use the HBase shell to directly manipulate HBase tables
• Design optimal HBase schemas for efficient data storage and recovery
• Connect to HBase using the Java API
• Understand how to bulk-load data into HBase using MapReduce
• Administer an HBase cluster
• Identify and resolve performance bottlenecks

Download the full agenda for Cloudera's Training for Apache HBase.

Hands-On Exercises

During this course students will perform numerous Hands-On Exercises.

Introduction

Introduction to HBase

• What is HBase
• HDFS and HBase
• Hands-On Exercise
• HBase Usage scenarios

The HBase Data Model

• Overview of the HBase Data Model
• Designing Tables
• Column Families
• Cells and Versions

The HBase shell

• Running the shell
• Creating Tables
• Accessing Data in Tables
• Administration
• Scripting
• Hands-On Exercise

HBase Architecture

• Components of an HBase Cluster
• Regions
• Flushes and Copactions
• Hands-On Exercises
• Reading and Writing to HBase
• Bloom Filters and Block Cache
• WAL and Crash Recovery

Schema Design

• Schema Fundamentals
• Designing for Locality
• Timeseries Data
• Reverse Timestamps
• Secondary Indexes
• Schema Design Examples
• Hands-On Exercise

The HBase API

• Administrative Classes
• Basic Operations
• Advanced Operations
• Hands-On Exercise
• Non-Java APIs

MapReduce and Bulk Loads

• What is MapReduce?
• HBase and MapReduce
• Hands-On Exercise
• Bulk Loading with MapReduce

HBase Configuration

• Configuration Overview
• Operating System Requirements
• Hadoop Requirements
• HBase Run Modes
• ZooKeeper
• Configuration Files

HBase Administration

• Monitoring
• Backup
• Tools
• Compression
• Managed Operations
• Hands-On Exercise
• Capacity Planning

Performance Tuning

• Operating System
• Network Performance
• Java and Garbage Collection
• HBase Configurations
• Client Configurations
• Troubleshooting

Conclusion