HBase Course

HBase is an open source, non-relational, distributed database modeled after Google’s BigTable and is written in Java.


HBase Training Introduction

HBase is an open source, non-relational, distributed database modeled after Google’s BigTable and is written in Java.

It is developed as part of Apache Software Foundation’s Apache Hadoop project and runs on top of HDFS (Hadoop Distributed Filesystem), providing BigTable-like capabilities for Hadoop.

That is, it provides a fault-tolerant way of storing large quantities of sparse data (small amounts of information caught within a large collection of empty or unimportant data, such as finding the 50 largest items in a group of 2 billion records, or finding the non-zero items representing less than 0.1% of a huge collection When it comes to Hadoop, HBase is built on top of HDFS, which makes it pretty convenient to use if you already have a Hadoop stack.

It is also supported by Cloudera, which is a standard enterprise distribution for Hadoop.

HBase Training Curriculum

Introduction to Hbase

• Introduction to Hbase
• Hbase Concepts
• Understanding Hbase with an Example

NOSQL Architecture

• What is Hbase
• Where does it fits
• What is NOSQL

Hbase Data Model

• Comparison b/w HDFS and Hbase
• Usage scenario for Hbase
• Hbase Use case
• Hbase Data Model

Components of HBase Cluster

• Architecture of HBase
• Major components of HBase Cluster

Hbase API and Advance Operations

• Hbase Shell
• Hbase API
• Basic Operations
• Advance Operations

Integrate Hive with Hbase

• Creating a Table Inserting Data
• Integrate Hive with Hbase
• Load Utility

Loading a file using both load Utility

• How to put folder to VM
• Loading a file using both load Utility

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What is Apache HBase?

It is a column oriented database which is used to store the sparse data sets. It is run on the top of Hadoop file distributed system.Apache HBase is a database that runs on a Hadoop cluster. Clients can access HBase data through either a native Java API, or through a Thrift or REST gateway, making it accessible by any language. Some of the key properties of HBase include:
• NoSQL: HBase is not a traditional relational database (RDBMS). HBase relaxes the ACID (Atomicity, Consistency, Isolation, Durability) properties of traditional RDBMS systems in order to achieve much greater scalability. Data stored in HBase also does not need to fit into a rigid schema like with an RDBMS, making it ideal for storing unstructured or semi-structured data.
• Wide-Column: HBase stores data in a table-like format with the ability to store billions of rows with millions of columns. Columns can be grouped together in “column families” which allows physical distribution of row values onto different cluster nodes.
• Distributed and Scalable: HBase group rows into “regions” which define how table data is split over multiple nodes in a cluster. If a region gets too large, it is automatically split to share the load across more servers.
• Consistent: HBase is architected to have “strongly-consistent” reads and writes, as opposed to other NoSQL databases that are “eventually-consistent”. This means that once a write has been performed, all read requests for that data will return the same value.

Give the name of the key components of Hbase

The key components of Hbase are Zookeeper, RegionServer, Region, Catalog Tables and Hbase Master.

What is S3?

S3 stands for simple storage service and it is a one of the file system used by hbase.

What is the use of get() method?

get() method is used to read the data from the table.

What is the reason of using Hbase?

Hbase is used because it provides random read and write operations and it can perform number of operation per second on a large data sets.

Key Features


Overview of Course and Learning analytic’s


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Course Curriculam

Duration: 45 Days

Support: 24×7

Video: Yes

HBase Certified Professional