Realtime and Job Oriented Big Data/Hadoop Training in Marathahalli, Bangalore

SDLC Training
Big Data/Hadoop Training Institute in
Bangalore
Call Us: +91-77606 78612 Email Us: info@sdlctraining.in

About Your Company
SDLC Training is an IT training institute that offers tailor-made courses to students
and corporates who intend to hone their IT Skills. Our training portfolio covers
programs that span across the Software Development Life Cycle. We always keep
ourselves abreast with the latest trends and technologies in the IT market.
The training sessions are conducted by Industry Experts who have vast IT industry
experience in their respective fields and are employed with CMMI Level 5 /
Multinational companies.

Big Data/Hadoop Course Training

BIGDATA HADOOP TRAINING CONTENT
MODULE 1- INTRODUCTION TO BIGDATA
● Evolution of Big Data
● The 6 V’s challenges of traditional technology
● Comparison of Big Data with Traditional technologies
● What is Big Data?
● Examples of Big Data

● Reasons for Big Data Evolution
● Why Big Data deserves your attention
● Use cases of Big Data
● Different ways of analytical techniques using Bigdata
MODULE 2- INTRODUCTION TOHADOOP
● What is Hadoop
● History of Hadoop

● Hadoop Ecosystem
● Problems with Traditional Large-Scale Systems and Need for Hadoop
● Understanding Hadoop Architecture
● Fundamental of HDFS (Blocks, Name Node, Data Node, Secondary Name Node)
● Rack Awareness
● Read/Write from HDFS
● HDFS Federation and High Availability

MODULE 3- STARTING HADOOP
● Setting up single node Hadoop cluster(Pseudo mode)
● Understanding Hadoop configuration files
● Hadoop Components- HDFS, MapReduce
● Overview Of Hadoop Processes
● Overview Of Hadoop Distributed File System
● The building blocks of Hadoop

● Hands-On Exercise: Using HDFS commands
MODULE 4- MAPREDUCE-1(MR V1)
● Understanding Map Reduce
● Job Tracker and Task Tracker
● Architecture of Map Reduce
● Map Function
● Reduce Function

● Data Flow of Map Reduce
● How Map Reduce Works
● Anatomy of Map Reduce Job (MR-1)
● Submission & Initialization of Map Reduce Job
● Assigning & Execution of Tasks
● Monitoring & Progress of Map Reduce Job
● Hadoop Writable and Comparable

● Map Reduce Types and Formats
● Understand Difference Between Block and Input Split
● Role of Record Reader
● Different File Input Formats
● Map Reduce Joins
MODULE 5- MAPREDUCE-2(YARN)
● Limitations of Current Architecture

● YARN Architecture
● Application Master, Node Manager&Resource Manager
● Job Submission and Job Initialization
● Task Assignment and Task Execution
● Progress and Monitoring of the Job
● Failure Handling in YARN
● Task Failure

MODULE 6- HIVE
● Introduction to Apache Hive
● Architecture of Hive
● Installing Hive
● Hive data types
● Hive-HQL
● Types of Tables in Hive

● Partitions
● Buckets& Sampling
● Indexes
● Views
● Executing hive queries from Linux terminal
● Executing hive queries from a file
● Creating UDFs in HIVE
● Hands-On Exercise

MODULE 7- PIG
● Introduction to Apache Pig
● Install Pig
● Architecture
● Data types
● Working with various PIG Commands covering all the functions in PIG
● Working with un-structured data

● Working with Semi-structured data
● Creating UDFs
● Hands-On Exercise
MODULE 8- SQOOP
● Introduction to SQOOP& Architecture
● Installation of SQOOP
● Import data from RDBMS to HDFS

● Importing Data from RDBMS to HIVE
● Exporting data from HIVE to RDBMS
● Hands on exercise
MODULE 9- HBASE
● Introduction to HBASE
● Installation ofHBASE
● Exploring HBASE Master & Region server

● Exploring Zookeeper
● CRUD Operation of HBase with Examples
● HIVE integration with HBASE
● Hands on exercise on HBASE
MODULE 10- OVERVIEW SESSIONS ON
● HUE
● OOZIE

● FLUME
● SPARK
● KAFKA
● STORM
● AMBARI
● MAHOUT

MODULE 11- FAQS, REAL TIME ENVIRONMENT & REAL TIME SCENARIOS
● Real Time Q/A
● FAQ
● Real Time Environment
● MODULE 12-REAL TIME PROJECT
● Working on Real Time Project

We will be providing raw data & requirements for the project & you will have to work.
Finally we will have one Project execution session where we will be explaining the steps
for execution.

Course
Duration
Call us:
+9177606 78612
Email us:
info@sdlctraining.in

Demo Class : Free Demo Session, Flexible Timings
Free Class : Attend 3 Free Classes to check training Quality
Regular : 1 Hour per day
Fast Track : 2 – 3 Hours per day: 10 days
Weekdays : Available
Weekend : Available
Online Training : Available
Classroom Training : Available
Course Fee : Talk to our Customer Support
Duration : 30 Hours

Contact us:
+91-7760678612
info@sdlctraining.in

Realtime and Job Oriented Big Data/Hadoop Training in Marathahalli, Bangalore

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