Learn by Example : HBase - The Hadoop Database
4.0 (94 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,352 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Learn by Example : HBase - The Hadoop Database to your Wishlist.

Add to Wishlist

Learn by Example : HBase - The Hadoop Database

25 solved examples to get you up to speed with HBase
Best Seller
4.0 (94 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,352 students enrolled
Created by Loony Corn
Last updated 11/2016
Current price: $10 Original price: $50 Discount: 80% off
5 hours left at this price!
30-Day Money-Back Guarantee
  • 5 hours on-demand video
  • 61 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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 it's role in the Hadoop ecosystem
View Curriculum
  • You'll need to have an IDE where you can run Java code, Intellij IDEA and Eclipse are both good options
  • You'll need to have some experience with Java programming

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. 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?
  • 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
Students Who Viewed This Course Also Viewed
Curriculum For This Course
42 Lectures
You, This Course and Us
1 Lecture 01:50

We start with an introduction to the course, the instructors and what lies ahead for you. 

Preview 01:50
Introduction to HBase
8 Lectures 01:03:11

Distributed computing is really exciting, but was a really hard problem before the Hadoop ecosystem evolved.

Preview 07:17

Let's get started by Installing HBase. Get a taste of whats to come, start HBase, create a table and insert some data. 

Please use the attached text file for copying any commands that are shown on the screen. 

Installing HBase

HBase is a database built for the Hadoop ecosystem. Before we get there, let's get a quick understanding of the Hadoop ecosystem.

Preview 08:01

Hadoop has limitations that make HBase a necessary part of the Hadoop ecosystem

The role of HBase in the Hadoop ecosystem

HBase is a database - but its quite different from a traditional RDBMS. Get a quick overview of the differences before we dig deeper in future videos. 

How is HBase different from RDBMS?

See how column oriented storage and denormalization make HBase's data model quite different from a traditional database. 

HBase Data Model

HBase supports a limited set of operations - Create, Read, Update and Delete

Introducing CRUD operations

HBase is a database solution in the Hadoop ecosystem, so it seems is Hive. What makes them different? 

HBase is different from Hive
CRUD operations using the HBase Shell
7 Lectures 25:07

Example 2 - Inserting a row

Example 3 - Updating a row

Example 4 - Retrieving a row

Example 5 - Retrieving a range of rows

Example 6 - Deleting a row

Example 7 - Deleting a table
CRUD operations using the Java API
10 Lectures 56:07
Example 8 - Creating a table with HBaseAdmin

Example 10 - Inserting a list of Puts

Example 11 - Retrieving data - Get and Result objects

Example 12 - A list of Gets

Example 13 - Deleting a row

Example 14 - A list of Deletes

Example 15 - Mix and match with batch operations

Example 16 - Scanning a range of rows

Example 17 - Deleting a table
HBase Architecture
1 Lecture 09:20
HBase Architecture
Advanced operations - Filters and Counters
5 Lectures 28:22
Example 18 - Filter by Row id - RowFilter

Example 19 - Filter by column value - SingleColumnValueFilter

Example 22 - Atomically incrementing a value with Counters
MapReduce with HBase
3 Lectures 26:20

Use MapReduce for complex data processing tasks. See how to set up a MapReduce task to count Notifications by type

Example 23 : A MapReduce task to count Notifications by Type

Implement the MapReduce task to summarize Notifications by type in Java. 

Example 23 continued: Implementing the MapReduce in Java

See how to run a MapReduce task using the Java JAR.

Demo : Running a MapReduce task
Build a Notification Service
2 Lectures 25:35

Set up a class hierarchy to represent different types of user notifications for a social network

Example 24 : Implement a Notification Hierarchy

Use a Notifications Manager to manage tasks such as adding notifications and retrieving notifications for a specific user

Example 25: Implement a Notifications Manager
Installing Hadoop in a Local Environment
3 Lectures 36:02

Hadoop has 3 different install modes - Standalone, Pseudo-distributed and Fully Distributed. Get an overview of when to use each

Hadoop Install Modes

How to set up Hadoop in the standalone mode. Windows users need to install a Virtual Linux instance before this video. 

Hadoop Install Step 1 : Standalone Mode

Set up Hadoop in the Pseudo-Distributed mode. All Hadoop services will be up and running! 

Hadoop Install Step 2 : Pseudo-Distributed Mode
2 Lectures 24:23

If you are unfamiliar with softwares that require working with a shell/command line environment, this video will be helpful for you. It explains how to update the PATH environment variable, which is needed to set up most Linux/Mac shell based softwares. 

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

Hadoop is basically for Linux/Unix systems. If you are on Windows, you can set up a Linux Virtual Machine on your computer and use that for the install. 

Setting up a Virtual Linux Instance - For Windows Users
About the Instructor
Loony Corn
4.3 Average rating
5,428 Reviews
42,421 Students
75 Courses
An ex-Google, Stanford and Flipkart team

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)