Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 288.96 MB | Duration: 0h 46m

An Overview of Apache HBase

What you'll learn

Introduction to HBase

Data Model in HBase

DDL in HBase

DML in HBase

Requirements

Basic applications using Java

Hadoop's Architecture

Knowledge of any Database

Description

HBase is a data model that is similar to Google’s big table designed to provide quick random access to huge amounts of structured data. This course provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell. It also describes how to connect to HBase using java, and how to perform basic operations on HBase using java.HBase is a distributed column-oriented database built on top of the Hadoop file system. It is an open-source project and is horizontally scalable.HBase is a data model that is similar to Google’s big table designed to provide quick random access to huge amounts of structured data. It leverages the fault tolerance provided by the Hadoop File System (HDFS).It is a part of the Hadoop ecosystem that provides random real- read/write access to data in the Hadoop File System.This course should help professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software professionals, analytics Professionals, and ETL developers are the key beneficiaries of this course.Before you start proceeding with this course, we assume that you are already aware of Hadoop's architecture and APIs, have experience in writing basic applications using java, and have a working knowledge of any database.

Overview

Section 1: Module

Lecture 1 What is HBase

Lecture 2 HBase history

Lecture 3 Building blocks of HBase

Lecture 4 Column family in HBase

Lecture 5 Storage of Column Family

Lecture 6 Data Model in HBase

Lecture 7 stamp as Versions

Lecture 8 Getting Started with HBase Shell

Lecture 9 DDL in HBase part-1

Lecture 10 DDL in HBase part-2

Lecture 11 DDL in HBase part-3

Lecture 12 DML in HBase

Professionals aspiring to make a career in Big Data Analytics using Hadoop Framework.

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