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Apache Spark 2.0 with Scala A Big Data Framework


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Apache Spark 2.0 with Scala: A Big Data Framework

.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 4.55 GB

Duration: 10 hours | Genre: eLearning | Language: English

 

Learn Apache Spark 2.0 with Scala in Detail: A Complete Guide for Saprk and Scala

 

What you'll learn

 

Understand Hadoop 2.x Architecture

 

Implement Spark operations on Spark Shell

 

Work with RDD in Spark

 

Understand messaging system like Kafka and its components

 

What you'll learn

Master the concepts of HDFS

Understand Hadoop 2.x Architecture

Understand Spark and its Ecosystem

Implement Spark operations on Spark Shell

Understand the role of Spark RDD

Work with RDD in Spark

Understand Spark SQL and it's architecture

Understand messaging system like Kafka and its components

Integrate Kafka with real time streaming

Understand Graph and Spark GraphX

Requirements

There 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.

Description

Apache 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 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

 

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