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Cloudera Training for Apache HBase

Cloudera Training for Apache HBase

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • Delivered Online

  • 4 days

  • All levels

Description

Duration

4 Days

24 CPD hours

This course is intended for

This course is appropriate for developers and administrators who intend to use HBase.

Overview

Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks

Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second.

Introduction to Hadoop & HBase

  • What Is Big Data?

  • Introducing Hadoop

  • Hadoop Components

  • What Is HBase?

  • Why Use HBase?

  • Strengths of HBase

  • HBase in Production

  • Weaknesses of HBase

HBase Tables

  • HBase Concepts

  • HBase Table Fundamentals

  • Thinking About Table Design

The HBase Shell

  • Creating Tables with the HBase Shell

  • Working with Tables

  • Working with Table Data

HBase Architecture Fundamentals

  • HBase Regions

  • HBase Cluster Architecture

  • HBase and HDFS Data Locality

HBase Schema Design

  • General Design Considerations

  • Application-Centric Design

  • Designing HBase Row Keys

  • Other HBase Table Features

Basic Data Access with the HBase API

  • Options to Access HBase Data

  • Creating and Deleting HBase Tables

  • Retrieving Data with Get

  • Retrieving Data with Scan

  • Inserting and Updating Data

  • Deleting Data

More Advanced HBase API Features

  • Filtering Scans

  • Best Practices

  • HBase Coprocessors

HBase on the Cluster

  • How HBase Uses HDFS

  • Compactions and Splits

HBase Reads & Writes

  • How HBase Writes Data

  • How HBase Reads Data

  • Block Caches for Reading

HBase Performance Tuning

  • Column Family Considerations

  • Schema Design Considerations

  • Configuring for Caching

  • Dealing with Time Series and Sequential Data

  • Pre-Splitting Regions

HBase Administration and Cluster Management

  • HBase Daemons

  • ZooKeeper Considerations

  • HBase High Availability

  • Using the HBase Balancer

  • Fixing Tables with hbck

  • HBase Security

HBase Replication & Backup

  • HBase Replication

  • HBase Backup

  • MapReduce and HBase Clusters

Using Hive & Impala with HBase

  • Using Hive and Impala with HBase

Appendix A: Accessing Data with Python and Thrift

  • Thrift Usage

  • Working with Tables

  • Getting and Putting Data

  • Scanning Data

  • Deleting Data

  • Counters

  • Filters

Appendix B: OpenTSDB

About The Provider

Nexus Human, established over 20 years ago, stands as a pillar of excellence in the realm of IT and Business Skills Training and education in Ireland and the UK....

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