Learn by Example :HBase - The Hadoop Database
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- Certificate on Completion
- Access on Android and iOS App
Prerequisites: Working with HBase requires knowledge of Java
Record and run settings 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
- 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
- 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
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Distributed computing is really exciting, but was a really hard problem before the Hadoop ecosystem evolved.
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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.
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HBase is a database built for the Hadoop ecosystem. Before we get there, let's get a quick understanding of the Hadoop ecosystem.
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Hadoop has limitations that make HBase a necessary part of the Hadoop ecosystem
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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
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See how column oriented storage and denormalization make HBase's data model quite different from a traditional database.
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HBase supports a limited set of operations - Create, Read, Update and Delete
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HBase is a database solution in the Hadoop ecosystem, so it seems is Hive. What makes them different?
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Example1 - Creating a table for User Notifications
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Example 2 - Inserting a row
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Example 3 - Updating a row
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Example 4 - Retrieving a row
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Example 5 - Retrieving a range of rows
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Example 6 - Deleting a row
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Example 7 - Deleting a table
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Example 8 - Creating a table with HBaseAdmin
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Example 9 - Inserting a row using a Put object
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Example 10 - Inserting a list of Puts
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Example 11 - Retrieving data - Get and Result objects
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Example 12 - A list of Gets
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Example 13 - Deleting a row
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Example 14 - A list of Deletes
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Example 15 - Mix and match with batch operations
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Example 16 - Scanning a range of rows
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Example 17 - Deleting a table
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Example 18 - Filter by Row id - RowFilter
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Example 19 - Filter by column value - SingleColumnValueFilter
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Example 20 - Apply multiple conditions - Filterlist
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Example 21 - Retrieve rows within a time range
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Example 22 - Atomically incrementing a value with Counters
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Use MapReduce for complex data processing tasks. See how to set up a MapReduce task to count Notifications by type
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Implement the MapReduce task to summarize Notifications by type in Java.
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See how to run a MapReduce task using the Java JAR.
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Set up a class hierarchy to represent different types of user notifications for a social network
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Use a Notifications Manager to manage tasks such as adding notifications and retrieving notifications for a specific user
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Hadoop has 3 different install modes - Standalone, Pseudo-distributed and Fully Distributed. Get an overview of when to use each
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How to set up Hadoop in the standalone mode. Windows users need to install a Virtual Linux instance before this video.
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Set up Hadoop in the Pseudo-Distributed mode. All Hadoop services will be up and running!
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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.
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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.
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