The Big Data Hadoop training by Digitorious Technologies is intended to help you turn into a top Hadoop engineer. In this course, our instructors will help you to get expertise in Big Data, Hadoop, HDFS and MapReduce Framework. Additionally, the Market for Big Data is growing over the world and this growth in big data field open door for all the IT Professionals. The knowledge of Core Java and SQL will be gainful, yet absolutely not a mandatory.

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Course Curriculum

  • Introduction to Big Data and Hadoop
  • Architecture of Hadoop Framework
  • Hadoop Distributed File System Architecture
  • Hadoop Mapreduce Framework
  • Advanced MapReduce Framework-I
  • Advanced MapReduce Framework-II
  • Apache PIG Analytic Tool
  • Apache Hive Tool
  • Cloudera Impala
  • Apache HBase NoSQL Database
  • Zookeeper
  • Apache Sqoop Tool
  • Apache Oozie
  • And, Project

    Why to go for Hadoop Training?

    The hadoop training course is designed by Digitorious Technologies’ experts. While considering current trends, it helps you to learn about big data and spark modules. The hadoop training certification course also includes its various components like hbase, hive, pig etc.

    The main purpose to have hadoop training is that there is a huge demand of big data certified professionals in industry. And it is one of the fastest growing technology, used for doing data analytics on large volume of data. Almost all of the companies are indulging in big data due to its high demand. And it is estimated that by 2021, global hadoop market will reach $84.6 billion.

    Who should go for Hadoop Training?

    Now, you all have understood the importance of hadoop and big data, but now the question arises that who should go for hadoop training. So, here is a list of types of people who can opt for this hadoop training:

  • Project managers
  • Software developers
  • Data warehousing professionals
  • Business analysts
  • DBA professionals
  • Anyone who want to learn data science techniques
  • Any graduate who want to build career in big data