Apache HBase

Apache HBase is a NoSQL database that runs on Hadoop’s HDFS and is fully integrated with Hadoop. It is designed to handle large sets of data, which contain billions of columns and rows.

It is an ideal choice for storing sparse and semi-structured data because it provides fault tolerance through replication, automatic failover, sharding, and load balancing. It also provides fast real-time lookups, in-memory caching, and server-side processing. Apache HBase can be accessed using various client APIs, including Java, Thrift, and REST.

This Apache HBase training course covers the HBase architecture and data models, install HBase, use the shell and client APIs to access the data.

Objectives:

• Understand HBase Architecture and use 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 HBase cluster and Identify, resolve performance bottlenecks

Course Agenda:

• Installation
• Overview of HBase
• HBase Requirements
• HBase Software Requirements
• HBase Filesystems
• HBase Installation Modes
• Installing HBase in Local Mode
• Installing HBase in Fully Distributed Mode
• Accessing the Web-Based Management Console
• Using the HBase Shell
• Architecture
• HBase Components
• HFiles and Regions
• The Write-Ahead Log and MemStore
• Compaction and Splits
• Data Replication
• Access HBase
• Securing HBase
• Hadoop’s MapReduce Integration with HBase
• Data Modeling
• HBase Schema Overview
• Designing Tables
• Designing Rowkeys for Tables
• Versions, DataTypes, and Joins
• Time to Live and Deleted Cells
• Table Creation in the Shell
• Creating Tables Using the Shell
• Disabling, Enabling, and Dropping a Table
• Altering a Table’s Properties
• Data Management in the Shell
• Adding Data to a Table
• Using the scan and get Commands
• Deleting Data from a Table
• Using Counters
• Insert Data Using Java Client API
• Establishing a Connection
• Creating Tables using the Client Java API
• Creating a Put Class Instance
• Adding Data using the add() Option
• Using Timestamp with Put for Versioning
• Using the get() and has() Method
• Get Data Using Java Client API
• Using the Get Class
• Retrieving Columns using the Get Class
• Retrieving Versions of Columns using the Get Class
• Retrieving Specific Values from a Cell
• Using List with the Get Class
• Scan Data using Java Client API
• Using Scan() to read an Entire Table
• Scanning Rows Starting at a Specific Row or a Range
• Using Constructors to Narrow Search Results
• Using getScanner() Method
• Using the ResultScanner Class
• Delete and Update Data using Java Client
• Updating Data
• Deleting Data