Apache Spark Training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will gain in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.
♦ What is Hadoop platform
♦ Why Hadoop platform
♦ What is Spark
♦ Why spark
♦ Evolution of Spark
♦ Functional Programing Vs Object Orient Programing
♦ Scalable language
♦ Scala Overview
♦ Configuring Apache Spark
♦ JAVA Setup
♦ SCALA Editor
♦ Interpreter
♦ Compiler
♦ Benefits of Scala
♦ Language Offerings
♦ Type inferencing
♦ Variables
♦ Functions
♦ LOOPS
♦ Control Structures
♦ Vals
♦ Arrays
♦ Lists
♦ Tuples
♦ Sets
♦ Maps
♦ Traits and Mixins
♦ Classes and Objects
♦ First class functions
♦ Clousers
♦ Inheritance
♦ Sub classes
♦ Case Classes
♦ Modules
♦ Pattern Matching
♦ Exception Handling
♦ FILE Operations
♦ Spark Shell
♦ Parallel Programming
♦ Context
♦ RDD
♦ Transformations
♦ Programming with RDD
♦ Actions
♦ Broadcast Variables
♦ Accumulators
♦ Spark Streaming
♦ MLlib
♦ GraphX
♦ Spark SQL.
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