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

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?