BIG DATA HADOOP
Transcript of BIG DATA HADOOP
Learn from Industry Experts
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BIG DATA
HADOOP & SPARK DEVELOPER
100% JOB GUARANTEE
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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.
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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
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