Hadoop Bigdata

Why take Hadoop Bigdata Training?

Big Data is the fastest growing and the most promising technology for handling large volumes of data for doing data analytics. This Big Data Hadoop training will help you be up and running in the most demanding professional skills. Almost all the top MNCs are trying to get into Big Data Hadoop; hence, there is a huge demand for Big Data professionals. Our Big Data online training will help you learn Big Data and upgrade your career in Big Data domain. Our course has been created with a complete focus on the practical aspects of Big Data Hadoop.

Brief about topic

Hadoop Training Course is created by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, HBase, Spark, Oozie, Kafka and Sqoop, Nifi ,Scala.

Who should take this Training Course?

  1. Business Intelligence professionals, System administrators and integrators
  2. Software developers, Solution architects, Business analysts,System integrators
  3. Those aspiring for a career in Big Data Analytics

Training Syllabus

  1. Introduction to Bigdata & Bigdata Fundamentals
  2. HDFS
  3. YARN
  4. MapReduce
  5. Hive
  6. HBASE
  7. Sqoop
  8. Scala
  9. Spark
  10. Kafka
  11. Oozie
  12. Nifi

Instructor-led live online classes

OFFER ! Pay an 'Early Bird' deposit now and save 10% on the final price!

Early Bird Offer

  • 22


    Mon - Fri ( 15 Days)

    8:00 AM - 9:30 AM(IST)

    • 40% off


40% Off till 12-Jun
  • 20


    Sat - Sun ( 3 Weeks )

    08:00 PM - 10:00 PM(IST)

    • 40% off


40% Off till 12-Jun

Live Classes

On-time scheduled virtual classes with limited trainer-student ratio.

Expert Trainers

Best industry experts with years of online training experience.

Tailored Course

Based on your expertise and goals we design course for you.

Flexible Schedule

Learn at your schedule , time zone and convenience.

Get Certified

Receive a certificate to confirm the level of your skills in a professional context.


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