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Apache Spark and Scala Certification Training

Apache Spark and Scala Certification Training is designed to provide knowledge and skills to become a successful Spark Developer and prepare you for the Cloudera Certified Associate Spark Hadoop Developer Certification Exam CCA175. You will get in-depth knowledge of concepts such as HDFS, Flume, Sqoop, RDDs, Spark Streaming, MLlib, SparkSQL, Kafka cluster & API by taking this Course


Apache Spark and Scala Certification Training3

 

Apache Spark Course





Apache Spark Certification Training Course is designed to provide knowledge and skills to become a successful Big Data Developer.


You will understand basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, different APIs, which Spark offers such as Spark Streaming, MLlib, Clustering, and Spark SQL. This Edureka course is an integral part of a Big Data Developer's Career path. It will also encompass the fundamental concepts like data capturing using Flume, data loading using Sqoop, Kafka cluster, Kafka API.


This course is designed to provide knowledge and skills to become a successful Spark and Hadoop Developer and would help to clear the CCA Spark and Hadoop Developer (CCA175) Examination.



 

Training Objectives







The Edureka Spark and Scala training is designed to help you become a Spark developer. During this course, our expert instructors will train you to:
  • Master the concepts of HDFS

  • Understand Hadoop 2.x Architecture

  • Learn data loading techniques using Sqoop

  • Understand Spark and its Ecosystem

  • Implement Spark operations on Spark Shell

  • Understand the role of Spark RDD

  • Learn how to work with RDD in Spark

  • Implement Spark applications on YARN (Hadoop)

  • Implement machine learning algorithms in Spark MLlib API and Clustering

  • Understand Spark SQL and it’s architecture

  • Understand Kafka and its components

  • Integrate Kafka with real time streaming systems like Flume

  • Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter

  • Learn Spark Streaming

  • Process Multiple Batches in Spark Streaming




 

Who should go for this training?







Market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Big data domain:
  • Developers and Architects

  • BI /ETL/DW professionals

  • Senior IT Professionals

  • Testing professionals

  • Mainframe professionals

  • Freshers

  • Big Data enthusiasts

  • Software Architects, Engineers and Developers

  • Data Scientists and Analytics professionals




 

What are the pre-requisites for this Course?






A basic understanding of functional programming and object oriented programming will help. Knowledge of Scala will definitely be a plus, but is not mandatory.



 

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