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Apache Spark and Scala

Master Apache Spark, a high-speed, in-memory distributed computing framework built using Scala. This Spark & Scala course provides a deep understanding of Scala’s programming model while equipping learners with practical experience in near-real-time data analytics through hands-on projects in Spark and Scala.
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What is Apache Spark Scala Training about?
The Apache Spark and Scala training module equips candidates with the essential skills to develop applications using Spark and Scala. This training provides a clear comparison between Spark and Hadoop, explores performance optimization techniques, and enables high-speed data processing.

With hands-on experience using advanced cloud labs, participants will work on real-world use cases to gain practical insights into Spark and Scala.
What are the objectives of Apache Spark Scala Training?
By the end of this training, you will be able to:
  • Understand Scala and its implementation
  • Utilize control structures, loops, collections, etc.
  • Apply Traits and Object-Oriented Programming (OOP) concepts in Scala
  • Explain functional programming principles in Scala
  • Analyze Big Data challenges and solutions
Who should take this Apache Spark Scala Training?
This training program is ideal for:
  • Data Scientists
  • Analytics Professionals
  • Developers & Testers
  • Teams starting projects with Apache Spark and Scala
Prerequisites for Apache Spark Scala Training
  • Prior programming experience in Java or other languages is required
  • Basic familiarity with Linux or Unix is preferred
  • Intermediate knowledge of Hadoop is beneficial but not mandatory
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