Apache HBase Fundamentals E-Learning Training

Bestel deze unieke E-Learning cursus Apache HBase Fundamentals online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, voortgangsbewaking door rapportages.

Apache HBase is een NoSQL-database die draait op Hadoop's HDFS en volledig is geïntegreerd met Hadoop. Het is ontworpen om grote gegevenssets te verwerken, die miljarden kolommen en rijen bevatten. Het is een ideale keuze voor het opslaan van schaarse en semi-gestructureerde gegevens, omdat het fouttolerantie biedt door middel van replicatie, automatische failover, sharding en taakverdeling. Het biedt ook snelle realtime zoekacties, in-memory caching en server-side verwerking. Apache HBase is toegankelijk via verschillende client-API's, waaronder Java, Thrift en REST. Dit leertraject gaat in op de HBase-architectuur en datamodellen, het laat ook zien hoe je HBase installeert en hoe je de shell- en client-API's gebruikt om toegang te krijgen tot de data.

Cursusinhoud

Apache HBase Fundamentals: Installation, Architecture, and Data Modeling

Installation

Course: 46 Minutes

• Course Introduction
• 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

Course: 29 Minutes

• HBase Components
• HFiles and Regions
• The Write-Ahead Log and MemStore
• Compaction and Splits
• Data Replication
• Accessing HBase
• Securing HBase
• Hadoop's MapReduce Integration with HBase

Data Modeling

Course: 22 Minutes

• HBase Schema Overview
• Designing Tables
• Designing Rowkeys for Tables
• Versions, DataTypes, and Joins
• Time to Live and Deleted Cells

Practice: Install HBase

Course: 4 Minutes

• Exercise: Installing HBase

Apache HBase Fundamentals: Access Data through the Shell and Client API

Table Creation in the Shell

Course: 18 Minutes

• Course Introduction
• Creating Tables Using the Shell
• Disabling, Enabling, and Dropping a Table
• Altering a Table's Properties

Data Management in the Shell

Course: 19 Minutes

• Adding Data to a Table
• Using the scan and get Commands
• Deleting Data From a Table
• Using Counters

Insert Data Using Java Client API

Course: 20 Minutes

• 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

Course: 25 Minutes

• 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

Course: 26 Minutes

• 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

Course: 15 Minutes

• Updating Data
• Deleting Data

Practice: Manage Data in an HBase Table

Course: 5 Minutes

• Exercise: Managing Data Using a Client API

Apache HBase Fundamentals: Advanced API, Administration, and MapReduce

Filters

Course: 23 Minutes

• Course Introduction
• Implementing Utility Filters
• Implementing Comparison Filters
• Implementing Custom Filters

Cluster Administration

Course: 42 Minutes

• Checking the Status of the HBase Instance
• Listing the User Space Tables
• Deleting Tables
• Completing a Major Compaction Manually
• Merging Adjoining Regions
• Stopping and Decommissioning a RegionServer
• Performing a Rolling Restart
• Adding a New Node
• Monitoring HBase

Snapshots and Backups

Course: 24 Minutes

• Taking a Snapshot
• Using a Snapshot to Clone a Table
• Exporting and Restoring Snapshots
• Performing a Full Shutdown Backup
• Performing a Backup on a Live Cluster
• Performing a Restore

MapReduce

Course: 25 Minutes

• Using HBase as a Data Sink for MapReduce Jobs
• Using HBase as a Data Source for MapReduce Jobs
• Bulk Loading Data
• Splitting Map Tasks When Sourcing an HBase Table
• Accessing Other HBase Tables within a MapReduce Job

Practice: Manage HBase

Course: 5 Minutes

• Exercise: Managing HBase