MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 10 hours | Size: 4.55 GBLearn Apache Spark 2.0 with Scala in Detail: A Complete Guide for Saprk and ScalaWhat you’ll learnMaster the concepts of HDFSUnderstand Hadoop 2.x ArchitectureUnderstand Spark and its EcosystemImplement Spark operations on Spark ShellUnderstand the role of Spark RDDWork with RDD in SparkUnderstand Spark SQL and it’s architectureUnderstand messaging system like Kafka and its componentsIntegrate Kafka with real time streamingUnderstand Graph and Spark GraphXRequirementsThere are no such prerequisites for this Spark and Scala Training Course.

However, prior knowledge of Core Java and SQL will be helpful but is not at all mandatory.

DescriptionApache Spark 2.

0 Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer.

This course would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.

You will understand the 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, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib.

This course is an integral part of a Big Data Developer’s Career path.

It will also encompass the fundamental concepts such as GraphX, SparkSQL, messaging system like Kafka, etc.

Who this course is for:Developers and ArchitectsBI /ETL/DW ProfessionalsSenior IT ProfessionalsTesting ProfessionalsMainframe ProfessionalsFreshersBig Data EnthusiastsSoftware Architects, Engineers and DevelopersData Scientists and Analytics Professionals