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The “Prologue to Big Data and Hadoop” is a perfect course bundle for people who need to comprehend the essential ideas of Big Data and Hadoop. On finishing this course, learners will have the capacity to translate what goes behind the preparing of immense volumes of information as the business changes over from exceed expectations based investigation to continuous examination.

The course concentrates on the essentials of Big Data and Hadoop. It additionally gives a diagram of the business disseminations of Hadoop and the segments of the Hadoop environment.

Who should take this course?

’First experience with Big information and Hadoop’ course is implied for experts who expect to pick up a fundamental comprehension of Big Data and Hadoop. It is perfect for experts in senior administration who requires a hypothetical comprehension of how Hadoop can take care of their Big Data issue.

What are the prerequisites for taking this Course?

There are no prerequisites for this course.

Why should you go for this course?

  • Big Data Analytics is broadly used to dissect substantial volumes of information. The developing requirement for experts outfitted with the information of Big Data and Hadoop has expanded open doors for the individuals who need to make a profession in this field. Knowing the nuts and bolts of Big Data and Hadoop will make it less demanding for such experts to seek after cutting edge level courses in this subject and secure aptitudes to wind up specialists in Big Data investigation.
  • Information of Big Data and Hadoop empowers you to introduce and arrange Hadoop segments and oversee and in addition incorporate huge arrangements of unstructured information. The accompanying illustrations demonstrate why you ought to get outfitted with the information of Big Data and Hadoop.
  • Facebook, which is a $5.1 billion organization, has more than 1 billion dynamic clients! It is Hadoop that empowers Facebook to oversee information of such greatness.
  • Linkedin oversees more than 1 billion customized suggestions consistently, with the assistance of Hadoop’s MapReduce and HDFS highlights.
  • The Yahoo! Seek Webmap is a Hadoop application that keeps running on more

• Hadoop Distributed File System
• Hadoop Architecture
• MapReduce & HDFS

Hadoop Eco Systems

• Introduction to Pig
• Introduction to Hive
• Introduction to HBase
• Other eco system Map

Hadoop Developer

• Moving the Data into Hadoop
• Moving The Data out from Hadoop
• Reading and Writing the files in HDFS using java program
• The Hadoop Java API for MapReduce
o Mapper Class
o Reducer Class
o Driver Class

• Writing Basic MapReduce Program In java
• Understanding the MapReduce Internal Components
• Hbase MapReduce Program
• Hive Overview
• Working with Hive

 Pig Overview

• Working with Pig
• Sqoop Overview
• Moving the Data from RDBMS to Hadoop
• Moving the Data from RDBMS to Hbase
• Moving the Data from RDBMS to Hive

 Flume Overview

• Moving The Data from Web server Into Hadoop
• Real Time Example in Hadoop
• Apache Log viewer Analysis
• Market Basket Algorithms

 Big Data Overview

• Introduction In Hadoop and Hadoop Related Eco System.
• Choosing Hardware For Hadoop Cluster nodes
• Apache Hadoop Installation
Standalone Mode
Pseudo Distributed Mode
Fully Distributed Mode
• Installing Hadoop Eco System and Integrate With Hadoop

Zookeeper Installation

Hbase Installation
Hive Installation
Pig Installation
Sqoop Installation

Installing Mahout

• Horton Works Installation
• Cloudera Installation
• Hadoop Commands usage
• Import the data in HDFS
• Sample Hadoop Examples (Word count program and Population problem)
• Monitoring The Hadoop Cluster

Monitoring Hadoop Cluster with Ganglia
Monitoring Hadoop Cluster with Nagios
Monitoring Hadoop Cluster with JMX

• Hadoop Configuration management Tool
• Hadoop Benchmarking

  1. Who are the instructors?
    Our instructors are having real time experience in IT industry and good teaching experience with relevant skill set. The course will teach with real time scenario.
  2. How long is each course?
    As per mentioned in the course outline and will finish it.
  3. What kind of time commitment is required?
    As Per given schedule we will finish it the course. If any case of delay we will take the extra sessions.
  4. I am not able to access the online course, whom do I contact for a solution?
    You could raise a request on our Help & Blog, or direct reach out to get an instant solution.
  5. Is a practice test included with my online training?
    Yes, we will provide test instance for 2 months and as per customer interest we will extend.
  6. How do I get in touch with my Instructor?
    You can touch with through phone, web conference and mail after taking the course.
  7. How do I enroll in the Course program?
    You can enroll for the program on our website and make an online payment using any of these options.
    Visa Credit or Debit card
    American Express
    Once the online payment is done, you will automatically receive a payment receipt and access information, via email.

At the end of the course, you will receive a course completion certificate stating that you have successfully completed GoLogica training in Big Data Hadoop technology.
You will get certified in Big Data Hadoop by clearing the online examination with a minimum score of 70%.
To help you prepare for a certification exam, we will provide you a simulation exam a practice exam.

The normal compensation for a Hadoop Developer is $139,000.

Add Your Review



Another useful course in my resume, this will definitely help me.
Thanks to GoLogica for helping me complete this course without any difficulties and really happy with the trainers.
Excellent course and the study materials are really good and useful.
I am happy with this course and the trainer are good and this will help me in rise of my pay-scale.Thanks to GoLogica!
Average training.
Never thought could finish this course this easy and i would thank GoLogica for helping me with this.
Never thought could finish this course this easy and i would thank GoLogica for helping me with this.