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Mastering Apache HBASE with Hands-on

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Mastering Apache HBASE with Hands-on, available at $19.99, has an average rating of 2.75, with 42 lectures, based on 45 reviews, and has 218 subscribers.

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You will learn about Understand the HBASE Architecture and Components Perform Data Analytics using HBase Understand the tight integration between HBASE and HDFS Implement HBASE in HDFS Apply Zookeeper to monitor clusters This course is ideal for individuals who are Analytics Professionals or Project Managers or Testing Professionals or Software Developers and Architects or Graduates aiming to build a career in Big Data and Hadoop It is particularly useful for Analytics Professionals or Project Managers or Testing Professionals or Software Developers and Architects or Graduates aiming to build a career in Big Data and Hadoop.

Enroll now: Mastering Apache HBASE with Hands-on

Summary

Title: Mastering Apache HBASE with Hands-on

Price: $19.99

Average Rating: 2.75

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the HBASE Architecture and Components
  • Perform Data Analytics using HBase
  • Understand the tight integration between HBASE and HDFS
  • Implement HBASE in HDFS
  • Apply Zookeeper to monitor clusters

Who Should Attend

  • Analytics Professionals
  • Project Managers
  • Testing Professionals
  • Software Developers and Architects
  • Graduates aiming to build a career in Big Data and Hadoop

Target Audiences

  • Analytics Professionals
  • Project Managers
  • Testing Professionals
  • Software Developers and Architects
  • Graduates aiming to build a career in Big Data and Hadoop

In this course you will learn HBase which is a NoSQL database runs on top of hadoop. This course is designed for developers who will be using HBase to develop applications, administrators who will manage HBase cluster, Software professionals, analytics Professionals and students who are willing to build their career in Big Data. Towards the finish of this course, you will able to:

  • Understand how NoSQL is different from RDBMS.
  • Install, manage and monitor HBase Cluster.
  • Understand HBase and HDFS work together.
  • Perform DML and DDL on the data stored in HBase tables using shell.
  • Connect HBase using the Java API.
  • Design optimal HBase schemas for efficient data storage and recovery.
  • Implement filters, counters in HBase using Java API and HBase shell.

    Course Curriculum

    Chapter 1: Module 1

    Lecture 1: 1.1 Introduction

    Lecture 2: 1.2 What you'll Learn

    Lecture 3: 1.3 Prerequisites for HBase

    Lecture 4: 1.4 HBase Use Cases

    Chapter 2: Module 2

    Lecture 1: 2.1 What is Big Data

    Lecture 2: 2.2 Apache Hadoop

    Lecture 3: 2.3 HDFS In Hadoop

    Lecture 4: 2.4 Hadoop MapReduce

    Lecture 5: 2.5 What is HBase

    Lecture 6: 2.6 HBase history

    Chapter 3: Module 3

    Lecture 1: 3.1 What is NoSQL and Its features

    Lecture 2: 3.2 How NoSQL DB differs from Traditional DBS

    Lecture 3: 3.3 Characteristics of Apache HBase

    Lecture 4: 3.4 Comparison of HBase with HDFS

    Lecture 5: 3.5 When to use HBase, where Not

    Chapter 4: Module 4

    Lecture 1: 4.1 Building blocks of hbase

    Lecture 2: 4.2 Column family in HBase

    Lecture 3: 4.3 Storage of Column Family

    Lecture 4: 4.4Data Model in HBase

    Lecture 5: 4.5 Timestamp as Versions

    Chapter 5: Module 5

    Lecture 1: 5.1 Getting Started with HBase Shell

    Lecture 2: 5.2 DDL in HBase part-1

    Lecture 3: 5.3 DDL in HBase part-2

    Lecture 4: 5.4 DDL in HBase part-3

    Lecture 5: 5.5 DML in HBase

    Chapter 6: Module 6

    Lecture 1: 6.1 Core Components of HBase Cluster

    Lecture 2: 6.2 Need of Zookeeper

    Lecture 3: 6.3 Client Interaction with HBase Cluster

    Lecture 4: 6.4 BloomFilters in hbase

    Lecture 5: 6.5 Hfile in Hbase

    Lecture 6: 6.6 WAL in Hbase

    Chapter 7: Module 7

    Lecture 1: 7.1 Load Data in HBase using Apache PIG

    Lecture 2: 7.2 Load Data in HBase using Apache HIVE

    Lecture 3: 7.3 Importing of MySQL data in HBase using Sqoop

    Chapter 8: Module 8

    Lecture 1: 8.1 HBase Filters

    Lecture 2: 8.2 Filters in HBase Continued

    Lecture 3: 8.3 Filters in HBase Continued

    Chapter 9: Module 9

    Lecture 1: 9.1 Create Table in HBase using Java API

    Lecture 2: 9.2 Insert Data in HBase using Java API

    Lecture 3: 9.3 Scan Table in HBase using Java API

    Lecture 4: 9.4 Enable and Disable Table in HBase using Java API

    Lecture 5: 9.5 Listing and Deleting Table in HBase using Java API

    Instructors

    Rating Distribution

    • 1 stars: 8 votes
    • 2 stars: 10 votes
    • 3 stars: 10 votes
    • 4 stars: 9 votes
    • 5 stars: 8 votes

    Frequently Asked Questions


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