Why should I take this certification?

Vskills HBase certification is designed to teach you about HBase NoSQL database that runs on top of Hadoop & to enable you to apply it to store Big Data. Practical aspects of HBase are setting up distributed HBase cluster, integrating HBase and Hive, Processing HBase data using MapReduce, filtering, data modeling etc.

Learn & Study

  • NoSQL database concepts & data modelling
  • HBase architecture & deployment
  • HBase APIs
  • Map reduce
  • HBase administration- deploying, managing & monitoring the cluster

How will I benefit from this certification?

This certification will teach you the basic concepts of Hbase including its features, architecture & data model. You will learn to install, configure, and monitor Hbase. This certification is well suited for big data developers, software developers & analytics professionals. Learning Hbase will help you to become an expert in data management. In this certification you will learn to create database and how to insert, delete & update data.

Companies that hire HBase Professional

Vskills Certified candidates will find employment opportunities in Top Companies likelms Sapient Consulting Pvt Ltd, Capgemini, Accenture, Tech Mahindra, Hewitt

HBase Professional Table of Contents

https://www.vskills.in/certification/Certified-HBase-Professional-Table-of-contents

HBase Professional Course Outline

https://www.vskills.in/certification/Certified-HBase-Professional-Course-Outline

HBase Professional Tutorial

https://www.vskills.in/certification/Certified-HBase-Professional-Learning-Resources

HBase Professional Sample Questions

https://www.vskills.in/certification/Certified-HBase-Professional-Sample-Questions

HBase Professional Mock Test

http://www.vskills.in/practice/quiz/HBase

Apply for HBase Professional Certification

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TABLE OF CONTENT

 


HBase Introduction
  • History
  • Need for Non-relational Databases
  • Components
Installation
  • Requirements and installing on linux
  • Standalone and distributed modes
  • Configuring and deploying
  • Cluster install and configure
HBase API
  • Put, get and delete method
  • Scans Technique
  • Filters class and types (comparison, dedicated and decorating)
  • Counter and coprocessor class implementation
  • HTablePool class and connection handling
Administeration
  • Access by Avro, thrift and REST
  • Schema definition and HBaseAdmin
  • Task and node management in cluster
  • Data import and export
  • Cluster monitoring using metrics
  • Metrics usage in JMX, ganglia or nagios
  • Backup and Security
Map/Reduce
  • Basics
  • Classes
Optimizing
  • Compression
  • Splits and compaction optimizing techniques
  • Load testing, fault tolerance and load balancing

 

 
COURSE OUTLINE

 


HBase Introduction
  • Evolution of HBase database
  • Explaining the need for Non-relational Databases
  • Illustrating the various components of HBase
Installation
  • Detailing the requirements and installation procedure on Linux
  • Describing the standalone and distributed modes of HBase
  • Elucidating the various configuration options and deployment
  • Explaining the procedure to install cluster and configure it.
HBase API
  • Illustrating the put, get and delete method
  • Explaining the scans technique and it’s usage
  • Describing the filters class and their types (comparison, dedicated and decorating)
  • Detailing the implementation of counter and coprocessor class
  • Detailing the HTablePool class and connection handling in HBase
Administration
  • Configuring and implementing client access by Avro, thrift and REST
  • Detailing schema definition and usage of HBaseAdmin
  • Explaining process to add or remove node and task in cluster
  • Implementing import and export of block and bulk data and replication
  • Describing the various metrics used for cluster monitoring
  • Usage of metrics with monitoring tools (JMX, ganglia or nagios) and implementation
  • Detailing data backup and security
Map/Reduce
  • Illustrating map/reduce and need for integration
  • Implementation by classes
Optimizing
  • Detailing the need and implementation of compression with different codecs
  • Describing the various optimizing techniques for splits and compaction
  • Explaining load testing, fault tolerance and load balancing
“Exam scheduling to be done through user account” / “Exam once scheduled cannot be cancelled”
Date of Examination
07-Oct-2017
08-Oct-2017
21-Oct-2017
22-Oct-2017
05-Nov-2017
18-Nov-2017
02-Dec-2017
03-Dec-2017
16-Dec-2017
17-Dec-2017
Examination Time
01:00 PM - 02:00 PM
02:30 PM - 03:30 PM
04:00 PM - 05:00 PM
05:30 PM - 06:30 PM
10:00 AM - 11:00 AM
11:30 AM - 12:30 PM

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