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.
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!
Distributed computing is really exciting, but was a really hard problem before the Hadoop ecosystem evolved.
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.
HBase is a database built for the Hadoop ecosystem. Before we get there, let's get a quick understanding of the Hadoop ecosystem.
Hadoop has limitations that make HBase a necessary part of 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.
See how column oriented storage and denormalization make HBase's data model quite different from a traditional database.
HBase supports a limited set of operations - Create, Read, Update and Delete
HBase is a database solution in the Hadoop ecosystem, so it seems is Hive. What makes them different?
Use MapReduce for complex data processing tasks. See how to set up a MapReduce task to count Notifications by type
Implement the MapReduce task to summarize Notifications by type in Java.
See how to run a MapReduce task using the Java JAR.
Set up a class hierarchy to represent different types of user notifications for a social network
Use a Notifications Manager to manage tasks such as adding notifications and retrieving notifications for a specific user
Hadoop has 3 different install modes - Standalone, Pseudo-distributed and Fully Distributed. Get an overview of when to use each
How to set up Hadoop in the standalone mode. Windows users need to install a Virtual Linux instance before this video.
Set up Hadoop in the Pseudo-Distributed mode. All Hadoop services will be up and running!
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.
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.
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 :-)