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Big Data With Spark Scala

hadoop overview, scala, apache spark & practicals on real time data

HADOOP OVERVIEW, SCALA, APACHE SPARK & PRACTICALS ON REAL TIME DATA ABOUT TRAINING: This Hadoop training is designed to make aware about

Course HighLights :

Industry Expert Faculty 
Practical hands-On Training
Soft Study Material    
Accelerate your career growth with Big data 
Practical Assignments/Test  

Who Should Attend ?

Diploma/Degree Students
Software Engineers
Developers & Architects
Managers / Team Leaders
Any IT Proffesional

Certification :

Central Govt. Certificate will be awarded.

Course Content :

    HADOOP OVERVIEW

    Need of Hadoop technology

    Overview of Data centers and Cluster

    Hadoop Cluster and Racks in detail

    Learning Ubuntu for Hadoop

    Overview of Hadoop tools

    Overview of Map Reduce

    Big data Concepts

    Distributed network and computation

    Challenges in data management and control

    Introduction to Big Data

    Types of data in detail

    Sources of Big Data

    Concept of Streaming data

    HDFS and Basic hadoop commands

    APACHE SPARK

    Download & Install Apache Spark 2 x

    Introduction to Spark Shell

    Spark RDDs Part 1

    Spark RDDs Part 2

    RDD Transformations

    Introduction to IDEs

    Creating Spark Project with Eclipse Maven

    Creating Spark Context and RDD in Spark 1 x style

    Creating Spark Context and RDD in Spark 2 x style

    RDD Basics Working with CSV Files

    RDD Basics Saving RDD to a Text File

    Introduction to Spark DataFrame

    Creating DataFrame using Spark 1 x Style

    Creating DataFrame using Spark 2 x Style

    Creating DataFrame with CSV file in Spark 1 x Style

    Creating DataFrame with CSV file in Spark 2 x Style

    Creating Multiple Spark Context in Spark 1.x

    Creating Multiple Spark Sessions Spark 2 x

    Working with Different File Formats – ORC, JSON, Parquet

    Working with Avro Files

    Applying Own Schema to the DataFrame

    Basic Operations on DataFrame

    Temporary Tables Spark 1 x Style

    Temporary Tables Spark 2 x Style

    Introduction to Datasets

    Creating a Dataset

    Basic Dataset Operations

    Dataset vs DataFrame Performance

    SCALA

    Scala Overview

    Environment Setup

    Basic Syntax

    Data Types

    Variables

    Classes & Objects

    Access Modifiers

    Operators

    IF ELSE

    Loop Statements

    Functions

    Closures

    Strings

    Arrays

    Collections

    Traits

    Pattern

    Matching

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