Hbase Installation | HBase Installation in Hadoop | HBase Installation in Ubuntu/CentOS | Edureka

This Edureka Hadoop HBase Tutorial will help you to learn how to install HBase on a Single Node Hadoop Cluster installed on CentOS. The same steps can be used for HBase Installation on Ubuntu, HBase Installation on Mac and Hbase Installation on Windows (using a linux VM).
Below are the softwares that are required for this setup:
1) Single Node Hadoop Cluster: In this Hadoop Tutorial we have used a Single Node Hadoop Cluster installed on CentOS. You can also use a Hadoop Cluster Installed on Ubuntu, MAC or Windows (using linux VM). Incase you do have this ready, please follow the below video first to set up Single Node Hadoop Cluster.
2) HBase Binary file: In this Hadoop Tutorial we have used one of the latest and stable version of HBase i.e. hbase-1.2.2. The same steps can be applied to install any of the HBase versions.

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About the Course

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics
11. Understand Spark and its Ecosystem
12. Learn how to work in RDD in Spark

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Who should go for this course?

If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
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7. Recent graduates passionate about building successful career in Big Data

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Why Learn Hadoop?

Big Data! A Worldwide Problem?

According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

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