With businesses generating Big Data at a rapid pace, analyzing the data to leverage meaningful business insights is the need of the hour. The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 Data Scientists and 1.5 million Managers and Analysts who can understand and make decisions using Big Data by 2018.

This is an extensive program designed to cover most important modules of Big Data required by today’s Industry and as well help you achieve Certifications from Hortonworks & Cloudera. The program is bundled with modules like MapReduce, Hive, Pig, Hbase, Zookeeper, Oozie, Scoop, Impala and Flume. Also Spark Components i.e. RDD, SparkSQL, MLlib, Spark Streaming GraphX. And to support your learning path there are resources like our Cloud Labs, Industry Grade Projects, Assignments, Use Cases and more with our world class Technical Support post learning.


Why This Course:

  • Cover Apache Hadoop & Spark Components i.e. HDFS, Yarn, MapReduce, Pig, Hive, HBase, Sqoop, Flume, Oozie, Scala, RDD, SparkSQL, Spark Streaming
  • Hands-on Experience and Use Case
  • Project Execution in Different Domain Data Sets and Components i.e. MapReduce, Pig, Hive, RDD, SparkSQL
  • Pre-Installed Hadoop/Spark Environment (Plug and Play)
  • Cloud Lab
  • Live Support (24×7)


What You Will Get:

  • LMS Access
  • Cloud Lab
  • 100+ Assignments
  • 200+ Quizzes
  • Pre-Installed Hadoop/Spark Environment (Plug and Play)
  • 10+ Industry Grade Projects in Different Domain
  • Live Support via one to one Screen Sharing, Mail and Call
  • Course Completion Certificate


Who Should Attend:

  • Software Developers with Java Background
  • Software Architects
  • Project Managers
  • Data Scientists
  • Professionals with Analytics and Data Management Profile
  • Business Intelligence Professionals
  • Professionals with Business Intelligence, ETL and Data Warehousing Background
  • Professionals from Testing and Mainframe Background


Prerequisites: Basics of Core Java, Linux and SQL Commands


Course Curriculum

Module 1
Introduction to Big Data and Hadoop Details 03:00:00
Module 2
YARN and HDFS Architecture Details 03:00:00
Module 3
Hadoop: MapReduce Framework Details 05:00:00
Module 4
Data Transferring using Sqoop & Flume Details 02:00:00
Module 5
Structured Data Analysis with Hive Details 04:00:00
Module 6
Impala vs Hive Details 02:00:00
Module 7
Working with Pig Details 04:00:00
Module 8
Introduction to Hbase and Zookeeper Details 03:00:00
Module 9
Oozie and Advance Project Execution Details 02:00:00
Module 10
Introduction to Apache Spark Details 02:00:00
Module 11
Deep Dive on Scala Details 06:00:00
Module 12
Introduction to RDDs Details 03:00:00
Module 13
Introduction to SparkSQL Details 03:00:00
Module 14
Scala Build Tool (SBT) Details 01:00:00
Module 15
Introduction to Kafka and Spark Streaming Details 03:00:00
Module 16
Introduction to MLlib and GraphX Details 03:00:00
Module 17
Advance Project Execution using Spark Details 01:00:00

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  • 30,000.00 25,000.00
  • 50 Hours


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