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100 % JOBGAURANTEE

SALARY RANGE6 to 20 + LAKHS

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BIG DATA

HADOOP & SPARK DEVELOPER

100% JOB GUARANTEE

www.ihubtalent.com

www.ihubtalent.com

COURSE DURATION SESSION HOURS REALTIME PRACTICE

5 WEEKS 40 HOURS CASE STUDIES + MOCK TESTS

KEY HIGHLIGHTS

ä Personalized attention and guidance to accelerate the learning

ä Subject matter experts as trainers

ä Industry ready course roaster designed by architects and subject matter experts

ä Proven content, creating gateway to world of Job opportunities

ä Not just learning, Learn by doing methodology ä Access to Instant recorded live Class videos shared

ä Guest lectures from leading MNC Companies

ä Practical & detailed approach, everyone can understand and perform to excel

ä Member access to private group to get instant doubt clarifications

ä More than 10,000 + success stories created

ä Parent company Quality Thought No #1 providing placements since 2010

ä Backed by strong Internal human resource team enabling quick placements

ä Institute backed by strong IIT alumina Team ä Only EdTech with 100% Internship based and job guarantee training

ä Experienced IT Architects, subject matter experts as advisory in the boardä Guaranteed Internship Opportunity (3 to 6Months) for every participant

ä Special guidance to students to win jobs with highest packages

ä Partnered and serving 100+ clients right from the inception of the firm

TRAINING HIGHLIGHTS

BIG DATA

HADOOP & SPARK DEVELOPER

iHub Talent Big Data Hadoop course designed to master the concepts of the Hadoop framework, The Big Data tools, and methodologies are trained to make you for success in your role as a Big Data Developer and also will learn complete Hadoop ecosystem fit into the Big Data processing life cycle. Training covers working on real-�me projects and assignments that have immense implica�ons in the real-world industry scenarios, thus helping you fast-track your career effortlessly.

www.ihubtalent.com

MapReduce flow, Map ReduceJob

Impala Architecture

HDFS

Real Time Project Explana�on

Hadoop Ecosystem Concepts

Typical workflow, HDFS Commands

What is Hadoop?, Why Hadoop?

Usage of Hadoop in the MarketLinux (Ubuntu/Centos) - Tips and Tricks

Understanding the cluster

What is Big Data?, What are the challenges for processing big data?Introduc�on to Big Data and Hadoop

Spark and Scala concepts

Hadoop ecosystem

Wri�ng files to HDFS, Reading files from HDFS

Introduc�on to AWS Cloud Components

Rack awareness, Hadoop daemons

Real Time tools like Git,

Hadoop 2.x Architecture

MapReduce overview Hadoop MapReduce Concepts and Features

Hive Architecture, Types of Metastore

HiveQL , File Formats – Parquet, ORC, Sequence and Avro Files Comparison Par��oning & Bucke�ng

History of Hadoop, Future scope of Hadoop

Hive Performance Tunning

Table Types, Hive Data Types

Hands-on exercises, Real �me use cases

Hive concepts

Impala

Discussion on Interview Ques�ons Bitbucket, Bamboo, WinSCP

Impala Introduc�on

Impala Commands Cheat Sheet

During this course you will learn Introduc�on to Big Data and Hadoop

Hadoop Developer Course -

Hadoop ecosystem concepts Linux (Ubuntu/Centos) - Tips and Tricks Hadoop MapReduce concepts and features Hive concepts, Impala HUE Usage Sqoop Data Inges�on Ka�a Inges�on, HBase concepts

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Hbase Shell Interface,

HBase HBase architecture and concepts, Hbase Data Model

Hbase Commands

Sqoop Data Inges�on

Hands-on exercises

Sqoop Export, Sqoop Jobs, Hands-on exercises

Introduc�on

Sqoop Architecture

Overview of Spark version 2.2.0 Spark Architecture, Spark components

Ka�a Architecture, Ka�a Setup

Sqoop Import Command Arguments, Incremental Import

Producers, consumers concepts

Comparison of spark & Hadoop, Installa�on of Spark v 2.2.0

Ka�a Inges�on

Spark Core Exploring the Spark shell, What is RDD/Data Frame

Spark and Scala concepts

Transforma�ons & Ac�ons , Loading Data and Saving Data

Filtering and coun�ng, Group By, Flat Map

Introduc�on to SQL Opera�ons

· Word count, File Access

Crea�on of Data Frames

Introduc�on to Scala, Feature of Scala

Project Explana�on

Spark SQL

Working with Hive, Loading Par��oned Tables,Processing Parquet files

Scala vs Java Comparison, Data types, Data Structure

Spark Submit

Build Libraries, Create Jar files

Scala Collec�ons

Spark-Submit, Discussion on Interview Ques�ons

Scala Programming

Logical Operators

List, Map, Sets, Tuples, Mutable/ Immutable collec�on

Maven build tool implementa�on

iHub’s KEY CLIENTS100 + Clients and Adding More

www.ihubtalent.com

OTHER JOB GUARANTEE COURSES

iHub Talent

100 % JOBGAURANTEEDATA SCIENCE & AI

ADVANCED

D JANGO djPYTHON

DIGITAL MARKETINGFULL STACK

www.ihubtalent.com

81069 61963

CLOUDENGINEER

#515, Nilgiri Block, Beside Metro Station

Ameerpet, Hyderabad -16.

A Cloud Data IntegrationETL Course

Full StackM E R NDEVLOPER

Full StackM E A NDEVLOPER