Spark is an unified analytics engine for large scale data processing. It achieves high performance for both batch and streaming data using a state-of-the-art DAG scheduler, a query optimizer.
Spark and Scala ensure the comprehensive unified framework for managing large volumes of data.
Clients having a basic understanding of functional programming and OOPS concepts will be added advantage. Knowledge in Scala will be added an advantage but it is not mandatory.
-> Clear understanding in Spark and Scala with its implementation process
-> Enhances knowledge in applying Control structures, Loops, collection and many other
->Mastering the concepts of Traits and Oops in Scala
->Grasps knowledge in implementation of Spark operations on shell
-> Skills in implementation of Stream data using Spark Streaming API
-> Acquires skills in Analyzing of Hive and Spark SQL Architecture
-> Implementation of Spark application on YARN
->Knowledge in Implementation of Broadcast variables and accumulators for performing tuning
Spark & Scala can easily integrate with Hadoop that has a great advantage for Organizational growth. Spark and Scala have been highly used in Production and huge demand for Spark Professionals.
Spark & Scala certified candidates are in high demand where you can enhance your career graph. There are many numbers of Job opportunities with Apache Spark & Scala where an individual can enhance their potential in this emerging field. Spark & Scala experts are acquiring High pay for critical skills.
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