Hadoop and Big Data Training in Navalur

Learn Big Data training in Navalur. Big data refers to a large complex set of data which is difficult to process with a traditional processing system. Hadoop is an effective open source project by Apache used for processing and storage of large volume of unstructured data in a complex environment. If you are looking for Hadoop and big data training in Navalur OMR, our training institute can guide you through.

Here are a few reasons why you should undergo Hadoop and Big Data Training in Navalur OMR:

  • Creates Better Career Opportunities – The modern-day companies are looking for experienced IT professionals with thorough knowledge of business intelligence and extensive knowledge of Hadoop ecosystems. Career options for Hadoop professionals are growing across different business industries like financial firms, healthcare, agriculture, sports, energy, retailers and media.
  • Pace up exponentially with Growing Big Data Market – Hadoop allows the storage and processing of huge volumes of data dedicated software. Digital Data is leaving its noteworthy presence everywhere. This is needed to store and process high volume, high velocity and variety of data quickly at an economical cost.
  • Big Companies looking for Big Data – Big Companies are looking for Big Data analysis and Hadoop which is then required to process a large data set. This will help professionals fetch great job opportunities at big companies.

Take up a Hadoop and Big Data Training in Navalur by our team of experts and become a Hadoop developer by developing theoretical and practical knowledge. Enrol in our courses, attend our demo session and get classes fixed at a flexible timing.

Hadoop and Big Data Training in Navalur Syllabus:

Hadoop Developer

HDFS ARCHITECTURE
JAVA BASICS
Map Reduce
PIG
HIVE
HBASE
CASSANDRA
YARN
Talend
AWS

Hive

An Introduction
Hive Architecture
Hive Installation Guide
Running Hive
Comparison with Traditional Database
HiveQL
HiveQL: Data Types, Operators and
Functions
Tables Management
Querying Data
UDF

ZOOKEEPER

Installing & Running Zookeeper
The Zookeeper Service: Data Model
Services
States
Sessions
Consistency
Application Building
Zookeeper in Production

MONITORING HADOOP (NAGIOS or GANGLIA)

Introduction
Installation
Features
Working with the tools
Monitoring the system
Monitoring the cluster

Hadoop Administrator

LINUX ADMINISTRATION SETUP
CLUSTER
SINGLE NODE CLUSTER (On UBUNTU & CENTOS)
MULTINODE CLUSTER
FLUME
SQOOP
COMMISSIONING & DECOMMISSIONING
TOPOLOGY AWARENESS & RACK SETUP
CONFIGURING BACKUP & RECOVERY FOR HADOOP
PERFORMANCE TUNING
MONITORING HADOOP (NAGIOS or GANGLIA)

Map Reduce

Introduction to Map Reduce
Architecture of Map Reduce
Map Reduce types and format
Programming with Map Reduce
Map Reduce Features
Counters
Sorting
Joins
Side data distribution
Programming on joins using Map Reduce

HBASE

Basic Concepts
Configuration & Installation Working With HBase HBase versus RDBMS Schema Design

HADOOP 2.0, YARN,v2

Hadoop 2.0 New Features: Name Node High Availability
HDFS Federation
MRv2
YARN
Running MRv1 in YARN
Upgrade your existing MRv1 code to MRv2

CLUSTER SETUP

Understanding the Configuration Files
Setting Up Multi-Node Cluster
Deploying Data on 3-Node Cluster

FLUME

Introduction
Flume Architecture
Data Ingest in HDFS with Flume
Flume Sources
Flume Sinks
Topology Design Considerations

OOPS Concepts

Object Class
Data handling & Encapsulation
Message Passing
Inheritance
Polymorphism
Dynamic Binding

Collections

Lists
Sets
Maps
Trees

Exception Handling

Errors
Checked Exception
Unchecked Exception
Custom Exceptions

HDFS Architecture

LINUX ADMINISTRATION SETUP
Basic Terminologies
HDFS Block Concepts
Replication Concepts
Basic reading & writing Of files in HDFS
Basic processing concepts in MapReduce
Data Flow
Anatomy of file READ And WRITE
Hadoop commands
Hadoop Archives
Communication Among HDFS Elements
In-Depth Concepts of HDFS Elements
Data Node Block Management Advance
Real Use Case

PIG (analytics using Pig)& PIG LATIN

Intro to Pig
Comparison with Databases
Pig Latin
User Defined Functions
Filters
Data Processing operators
Load And Store Function
Developing and Testing Pig Latin Scripts

CASSANDRA

Why NoSQL databases
Into to Cassandra
Installation and setup of Cassandra
Cassandra Query Language
Cassandra Architecture

LINUX ADMINISTRATION

Introduction to Linux
Planning Disk Partition
Users And Group Management
Administration Of File System & Security
Linux Essentials And Hardware Management
Trouble Shooting Problems in Linux Systems
Linux Security

CLUSTER SETUP

Single Node Cluster
Installing Java
Creating Hadoop User
SSH configuration
Understanding Hadoop Configuration Files
Setting Up The Single Node Cluster

PERFORMANCE TUNING

Split Size
Number of Reducers
Combiners
Distributed Cache
Compression
Combine File Input Format
Filtering
JVM Reuse

Java Introduction

Installing Java
Eclipse Introduction
Creating a Sample Java Project
Writing First Java Program
Basic Java Terminology