Understand what is Big Data, the challenges with Big Data and how Hadoop propose a solution for the Big Data problem



33,898.31 5,931.36

GST (18) %

₹ 1,067.64


₹ 6,999.00

Program OverView

Key Highlights

  • Big Data Developer
  • Design distributed systems that manage "big data" using Hadoop and related technologies.


“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including AmazonEBayNASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think, and you'll be learning from an ex-engineer and senior manager from Amazon and IMDb.

Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On".

Learning Path

We have carefully chosen an approach to help you achieve your goals

  • 1


    1. Hadoop Developer In Real World
  • 2


    1. The Ultimate Hands-On Hadoop - Tame your Big Data!
    2. Apache Spark with Scala - Hands On with Big Data!
    3. Taming Big Data with MapReduce and Hadoop - Hands On!
    4. Taming Big Data with Apache Spark 3 and Python - Hands On!
    5. Spark and Python for Big Data with PySpark
    6. Apache Kafka Series - Learn Apache Kafka for Beginners v2
    7. Apache Kafka Series - Kafka Streams for Data Processing
    8. Apache Kafka Series - Kafka Connect Hands-on Learning
  • 3


    1. Akka Essentials with Scala | Rock the JVM
    2. Learn Big Data: The Hadoop Ecosystem Masterclass
  • 4

    Personal Development

    1. Soft Skills: The 11 Essential Career Soft Skills
    2. The Complete Job Interviewing Skills Masterclass Course
    3. [2020] Career Hacking™: Resume, LinkedIn, Interviewing +More

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