CHANDIGARH NO.1 - Web Education Academy - Admissions on 1st come 1st basis - Lowest Fee, Learn Unlimited!

Big Data Hadoop Course in Chandigarh

Big Data Hadoop Course in Chandigarh

WebtechLearning provide the best practical training in Big Data Hadoop in Chandigarh, Mohali and Panchkula. 100% practical training program.

Training Duration:

6 weeks, 6 months Industrial training programs

Big Data Hadoop Training with Live Projects + Certifications + Jobs

Big Data Hadoop Course

Hadoop is a software framework for storing and processing Big Data. It is an open-source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware.

(Big Data Hadoop Student Testimonial)

Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBASE, PIG, HIVE, SQOOP and ZOOKEEPER to perform the easy and fast processing of huge data Hadoop conceptually different from Relational databases and can process the high volume, high velocity and high variety of data to generate value

13730929_1096359877090549_2351056269326163766_o

13701056_1096359793757224_122185962454171864_o

Big Data Hadoop Course in Chandigarh

Big Data Hadoop Course Syllabus:

Introduction to HADOOP and HDFS (Hadoop Distributed File System)

  • Design of HDFS
  • HDFS Concepts
  • Command Line Interface
  • Hadoop File Systems
  • Java Interface
  • Data Flow (Anatomy of a File Read, Anatomy of a File Write, Coherency Model)
  • Parallel Copying with DISTCP
  • Hadoop Archives

Understanding Pseudo Cluster Environment

  • Cluster Specification
  • Hadoop Configuration (Configuration Management, Environment Settings, Important Hadoop Daemon Properties, Hadoop Daemon Addresses and Ports, Other Hadoop Properties)
  • Basic Linux and HDFS commands

Understanding – Map-Reduce Basics and Map-Reduce Types and Formats

  • Hadoop Data Types
  • Functional – Concept of Mappers
  • Functional – Concept of Reducers
  • The Execution Framework
  • Concept of Partitioners
  • Functional – Concept of Combiners
  • Distributed File System
  • Hadoop Cluster Architecture
  • MapReduce Types
  • Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
  • OutPut Formats (TextOutput, BinaryOutPut, Multiple Output)

PIG+Impala

  • Installing and Running Pig
  • Grunt
  • Pig’s Data Model
  • Pig Latin
  • Developing & Testing Pig Latin Scripts
  • Writing Evaluation
  • Filter
  • Load & Store Functions

HIVE

  • Hive Architecture
  • Running Hive
  • Comparison with Traditional Database (Schema on Read Versus Schema on Write
  • Updates
  • HiveQL (Data Types, Operators and Functions)
  • Tables (Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables)
  • Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries & Views, Map and Reduce site Join to optimize Query)
  • User Defined Functions
  • Appending Data into existing Hive Table
  • Custom Map/Reduce in Hive

HBASE, ZOOKEEPER, SQOOP

  • Introduction
  • Client API – Basics
  • Client API – Advanced Features
  • Client API – Administrative Features
  • Available Client
  • Architecture
  • MapReduce Integration
  • Advanced Usage
  • Advance Indexing
  • The Zookeeper Service (Data Modal, Operations, Implementation, Consistency, Sessions, States)
  • Building Applications with Zookeeper (Zookeeper in Production)
  • Database Imports
  • Working with Imported Data
  • Importing Large Objects
  • Performing Exports
  • Exports – A Deeper Look

Live Project

  • App. Development.
  • Running search Query.

Who should take this course?

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
  • Software Developers and Architects
  • Analytics Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics
  • Anyone interested in Big Data Analytics
Prerequisite: Knowledge of Java is necessary for this course, so we are providing complimentary access to “Java Essentials for Hadoop” along with the course.

wtn

Trainer & Teacher –
No Teacher, Only Experts – Your trainer comes from IT Companies having 5- 12 year experience on same technologies like -( Big Data Hadoop, linux and java Expert)
Mobile No –
+91-9915337448,
+91 987 837 5376
Online Contact-
info@webtechlearning.com, Skype – webtechlearning
Training Address-
Webtech Learning – Web Education Academy Chandigarh
SCO 54-55, 3RD FLOOR, Sector 34-A, Chandigarh, India
Top Search: > > > > >

WebtechLearning - Web Education Academy

ISO 9001:2008 Certified Academy

Professional Training + with Live Projects + Certifications+ Job

Call for query:  +91 9878 375 376, +91 9915 337 448 , Skype: webtechlearning

Book My Free Demo Class Now!

Note: you can meet your trainer, get demo class before joining the Course.

Webtech LearningTM partner's companies