The course Apache Spark and Scala Advance Certification is designed for deep understand and Big Data and Spark technology. In Present age company need more and more data for analysis the business grow and future plans. Spark is one of the best technology for move the career and get better position & salary in the market.
This course is help you to master on Spark Developer. Apache Spark and Scala Advance Certification also helps you to gain an in-depth knowledge of concepts such as Big Data, HDFS, Scala, RDDs, SparkSQL, Spark Streaming etc. The course is bundled with Industry Grade Projects, Quiz, Hands-on and Assignments.


You will get access to:

  • Study materials
  • Assignments
  • Quizzes
  • Spark environment (Plug and play)
  • Industry grade projects
  • Live Support
  • Course Completion Certificate
  • Job Assistance


Why this course:  

  • Cover Spark components i.e. RDDs, SparkSQL, Spark Streaming etc.
  • Hands on experience
  • Project execution
  • Pre-Installed Spark environment (Plug and play)
  • Live Support (24×7)


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: Introduction to Core Java, Linux and SQL Commands

Course Curriculum

Module 1
Introduction to Big Data and Spark Details 03:00:00
Module 2
Deep Dive on Scala – I Details 03:00:00
Module 3
Deep Dive on Scala – II Details 03:00:00
Module 4
Deep Dive on Scala – III Details 03:00:00
Module 5
Introduction to RDDs Details 03:00:00
Module 6
Introduction to SparkSQL Details 03:00:00
Module 7
Scala Build tool (SBT) Details 03:00:00
Module 8
Introduction to Kafka and Spark Streaming Details 03:00:00
Module 9
Introduction to MLib and GraphX Details 03:00:00
Module 10
Spark Streaming and Project Details 03:00:00
  • 18,000.00 16,000.00
  • 30 Hours


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