Learn by Example - HBase The Hadoop Database

Learn by Example : HBase – The Hadoop Database, available at $59.99, has an average rating of 4.26, with 43 lectures, based on 1093 reviews, and has 8250 subscribers.

You will learn about Set up a database for your application using HBase Integrate HBase with MapReduce for data processing tasks Create tables, insert , read and delete data from HBase Get an all round understanding of HBase and its role in the Hadoop ecosystem This course is ideal for individuals who are Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management or Yep! Engineers who want to move away from RDBMS and use HBase for their database solution or Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP It is particularly useful for Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management or Yep! Engineers who want to move away from RDBMS and use HBase for their database solution or Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP.

Enroll now: Learn by Example : HBase – The Hadoop Database

Summary

Title: Learn by Example : HBase – The Hadoop Database

Price: $59.99

Average Rating: 4.26

Number of Lectures: 43

Number of Published Lectures: 43

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Set up a database for your application using HBase

Integrate HBase with MapReduce for data processing tasks

Create tables, insert , read and delete data from HBase

Get an all round understanding of HBase and its role in the Hadoop ecosystem

Who Should Attend

Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management

Yep! Engineers who want to move away from RDBMS and use HBase for their database solution

Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP

Target Audiences

Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management

Yep! Engineers who want to move away from RDBMS and use HBase for their database solution

Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP

Prerequisites:?Working with HBase requires?knowledge of Java

Taught by?a?team which includes 2?Stanford-educated, ex-Googlers? and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale?data processing jobs.?

Relational Databases are so stuffy and old!?Welcome to?HBase – a?database solution for a new age.?

HBase: Do you feel like your relational database is not giving you the flexibility you need anymore??Column oriented storage, no fixed schema?and low latency make HBase a great choice for the?dynamically changing needs of your?applications.?

What’s Covered:?

25 solved examples?covering all aspects of working with data in HBase
CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce?

Implement your own notification service for a social network using HBase

HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive.?

Course Curriculum

Chapter 1: You, This Course and Us

Lecture 1: You, This Course and Us

Lecture 2: Source Code and PDFs

Chapter 2: Introduction to HBase

Lecture 1: The problem with distributed computing

Lecture 2: Installing HBase

Lecture 3: The Hadoop ecosystem

Lecture 4: The role of HBase in the Hadoop ecosystem

Lecture 5: How is HBase different from RDBMS?

Lecture 6: HBase Data Model

Lecture 7: Introducing CRUD operations

Lecture 8: HBase is different from Hive

Chapter 3: CRUD operations using the HBase Shell

Lecture 1: [For Linux/Mac OS Shell Newbies] Path and other Environment Variables

Lecture 2: Example1 – Creating a table for User Notifications

Lecture 3: Example 2 – Inserting a row

Lecture 4: Example 3 – Updating a row

Lecture 5: Example 4 – Retrieving a row

Lecture 6: Example 5 – Retrieving a range of rows

Lecture 7: Example 6 – Deleting a row

Lecture 8: Example 7 – Deleting a table

Chapter 4: CRUD operations using the Java API

Lecture 1: Example 8 – Creating a table with HBaseAdmin

Lecture 2: Example 9 – Inserting a row using a Put object

Lecture 3: Example 10 – Inserting a list of Puts

Lecture 4: Example 11 – Retrieving data – Get and Result objects

Lecture 5: Example 12 – A list of Gets

Lecture 6: Example 13 – Deleting a row

Lecture 7: Example 14 – A list of Deletes

Lecture 8: Example 15 – Mix and match with batch operations

Lecture 9: Example 16 – Scanning a range of rows

Lecture 10: Example 17 – Deleting a table

Chapter 5: HBase Architecture

Lecture 1: HBase Architecture

Chapter 6: Advanced operations – Filters and Counters

Lecture 1: Example 18 – Filter by Row id – RowFilter

Lecture 2: Example 19 – Filter by column value – SingleColumnValueFilter

Lecture 3: Example 20 – Apply multiple conditions – Filterlist

Lecture 4: Example 21 – Retrieve rows within a time range

Lecture 5: Example 22 – Atomically incrementing a value with Counters

Chapter 7: MapReduce with HBase

Lecture 1: Example 23 : A MapReduce task to count Notifications by Type

Lecture 2: Example 23 continued: Implementing the MapReduce in Java

Lecture 3: Demo : Running a MapReduce task

Chapter 8: Build a Notification Service

Lecture 1: Example 24 : Implement a Notification Hierarchy

Lecture 2: Example 25: Implement a Notifications Manager

Chapter 9: Installing Hadoop in a Local Environment

Lecture 1: Hadoop Install Modes

Lecture 2: Hadoop Install Step 1 : Standalone Mode

Lecture 3: Hadoop Install Step 2 : Pseudo-Distributed Mode

Lecture 4: Setting up a Virtual Linux Instance – For Windows Users

Instructors

Loony Corn
An ex-Google, Stanford and Flipkart team

Rating Distribution

1 stars: 21 votes

2 stars: 32 votes

3 stars: 176 votes

4 stars: 434 votes

5 stars: 430 votes

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