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Apache Spark and Scala Developer 

  • Offered byEdureka

Apache Spark and Scala Developer
 at 
Edureka 
Overview

A comprehensive overview of Apache Spark and Scala

Duration

60 days

Total fee

18,695

Mode of learning

Online

Credential

Certificate

Apache Spark and Scala Developer
 at 
Edureka 
Highlights

  • Lifetime Access
  • Earn a certificate after completing this course
Details Icon

Apache Spark and Scala Developer
 at 
Edureka 
Course details

Who should do this course?
  • 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
More about this course
  • The Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer This training will help you clear the CCA Spark and Hadoop Developer (CCA175) Examination
  • You will understand the basics of Big Data and Hadoop, along with how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce
  • This course also covers RDDs, Spark SQL for structured processing, and different APIs offered by Spark, such as Spark Streaming and Spark MLlib

Apache Spark and Scala Developer
 at 
Edureka 
Curriculum

What is Big Data

Big Data Customer Scenarios

Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case

How Hadoop Solves the Big Data Problem

What is Hadoop

Hadoop?s Key Characteristics

Hadoop Ecosystem and HDFS

Hadoop Core Components

Rack Awareness and Block Replication

YARN and its Advantage

Hadoop Cluster and its Architecture

Hadoop: Different Cluster Modes

Hadoop Terminal Commands

What is Big Data

Big Data Customer Scenarios

Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case

How Hadoop Solves the Big Data Problem?

What is Hadoop

Hadoop?s Key Characteristics

Hadoop Ecosystem and HDFS

Hadoop Core Components

Rack Awareness and Block Replication

YARN and its Advantage

Hadoop Cluster and its Architecture

Hadoop: Different Cluster Modes

Hadoop Terminal Commands

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Apache Spark and Scala Developer
 at 
Edureka 

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