Big Data with Spark and Scala

Categories: Big Data Hadoop
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About Course

Apache Spark is a big data processing framework and its popularity lies in the fact that it is fast, easy to use and offers sophisticated solutions to data analysis. Its built-in modules for streaming, machine learning, SQL, and graph processing make it useful in diverse Industries like Banking, Insurance, Retail, Healthcare, and Manufacturing.

What Will You Learn?

  • Fundamentals of Apache Spark and Scala
  • Difference between Spark and Hadoop
  • Implementing Spark on a cluster
  • Learning Scala programming language and its concepts
  • Writing Spark applications in Scala, Java and Python
  • Scala Java interoperability
  • Learn Storm Architecture and basic distributed concepts.
  • Learn Big Data features
  • Understand Legacy architecture of real time systems
  • Understand Logic Dynamics and Components in Storm
  • Learn the difference between Hadoop and Apache Spark
  • Learn Scala and the programming implementation in Scala
  • Implement Spark on cluster
  • Gain insight into functioning of Scala
  • Develop Real-life Storm Projects