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    Learn Hbase in 24 Hours
    Learn Hbase in 24 Hours
    Learn Hbase in 24 Hours
    Ebook97 pages34 minutes

    Learn Hbase in 24 Hours

    By Alex Nordeen

    ()

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    About this ebook

    HBase data storage technology is rapidly adopted by traditional RDMS users. Unlike RDMS, where scaling the server vertically for a huge data is a big challenge. With HBase, you can do this easily. It allows you to integrate with Hadoop's MapReduce framework for massively parallelized data processing jobs. Many expert and beginners are asking for a point-to-point guide that helps them to get a complete insight on HBase working. This book will answer all their queries and give them a complete tour of HBase technology.


    In this edition, you will begin with some very basic concept like HBase’s architecture, including the storage format, write-ahead log, background processes, and some of the advance topics. You will also learn about accessing HBase with native Java clients, how to tune clusters, design schemas, copy tables, etc.


    So far if tracking other resources for HBase have disappointed you, you must try this e-book. It is cheap, easy to comprehend and concise in its content. The examples and images are an additional benefit of this book. While to enhance your knowledge pool for related topics, more referrals and links are provided.


    Table content


    Chapter 1: Introduction


    Chapter 2: Architecture, Data Flow, and Use cases


    Storage Mechanism in Hbase


    HBase Architecture and its Important Components


    Data flow in HBase


    HBASE vs. HDFS


    Chapter 3: Installation Guide


    How to Download Hbase tar file stable version


    Hbase - Standalone mode installation


    Hbase - Pseudo Distributed mode of installation


    Hbase - Fully Distributed mode installation



    Chapter 4: Shell and General Commands


    General commands


    Tables Managements commands


    Data manipulation commands


    Cluster Replication Commands


    Chapter 5: Handling Tables


    Creation of Table with Rows and Column names


    Placing values into tables and retrieving values from table


    Retrieving Inserted Values in HBase shell mode


    Chapter 6: Limitations, Advantage & Problems


    Chapter 7: Troubleshooting

    LanguageEnglish
    PublisherPublishdrive
    Release dateNov 12, 2021
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      Book preview

      Learn Hbase in 24 Hours - Alex Nordeen

      Hbase-V1

      Learn Hbase in 24 Hours

      By Alex Nordeen

      Copyright 2021 - All Rights Reserved – Alex Nordeen

      ALL RIGHTS RESERVED. No part of this publication may be reproduced or transmitted in any form whatsoever, electronic, or mechanical, including photocopying, recording, or by any informational storage or retrieval system without express written, dated and signed permission from the author.

      Table Of Contents

      Chapter 1: Introduction

      Chapter 2: Architecture, Data Flow, and Use cases

      Storage Mechanism in Hbase

      HBase Architecture and its Important Components

      Data flow in HBase

      HBASE vs. HDFS

      Chapter 3: Installation Guide

      How to Download Hbase tar file stable version

      Hbase - Standalone mode installation

      Hbase - Pseudo Distributed mode of installation

      Hbase - Fully Distributed mode installation

      Chapter 4: Shell and General Commands

      General commands

      Tables Managements commands

      Data manipulation commands

      Cluster Replication Commands

      Chapter 5: Handling Tables

      Creation of Table with Rows and Column names

      Placing values into tables and retrieving values from table

      Retrieving Inserted Values in HBase shell mode

      Chapter 6: Limitations, Advantage & Problems

      Chapter 7: Troubleshooting

      Chapter 1: Introduction

      HBase is an open source, distributed database, developed by Apache Software foundation.

      Initially, it was Google Big Table, afterwards it was re-named as HBase and is primarily written in Java.

      HBase can store massive amounts of data from terabytes to petabytes.

      HBase Unique Features

      HBase is built for low latency operations

      HBase is used extensively for random read and write operations

      HBase stores large amount of data in terms of tables

      Provides linear and modular scalability over cluster environment

      Strictly consistent to read and write operations

      Automatic and configurable sharding of tables

      Automatic failover supports between Region Servers

      Convenient base classes for backing Hadoop MapReduce jobs in HBase tables

      Easy to use Java API for client access

      Block cache and Bloom Filters for real-time queries

      Query predicate pushes down via server side filters.

      Why to Choose HBase?

      A table for a popular web application may consist of billions of rows. If we want to search particular row from such huge amount of data, HBase is the ideal choice as query fetch time in less. Most of the online analytics applications uses HBase.

      Traditional relational data models fail to meet performance requirements of very big databases. These performance and processing limitations can be overcomed by HBase.

      Importance of NoSQL Databases in Hadoop

      In big data analytics, Hadoop plays a vital role in solving typical business problems by managing large data sets and gives best solutions in analytics domain.

      In Hadoop ecosystem, each component plays its unique role for the

      Data processing

      Data validation

      Data storing

      In terms of storing unstructured, semi-structured data storage as well as retrieval of such data's, relational databases are less useful. Also, fetching results by applying query on huge data sets that are stored in Hadoop storage is a challenging task. NoSQL storage technologies provide the best solution for faster querying on huge data sets.

      Other NoSQL storage type Databases

      Some

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