Hadoop Training in Chennai

Hadoop Training in Chennai

hadoop training in chennai

what is Hadoop?

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

why Hadoop?

The complexity of modern analytics needs is outstripping the available computing power of legacy systems. With its distributed processing, Hadoop can handle large volumes of structured and unstructured data more efficiently than the traditional enterprise data warehouse. Because Hadoop is open source and can run on commodity hardware, the initial cost savings are dramatic and continue to grow as your organizational data grows. Additionally, Hadoop has a robust Apache community behind it that continues to contribute to its advancement.

Hadoop is a Game Changer

Apache™ Hadoop® enables big data applications for both operations and analytics and is one of the fastest-growing technologies providing competitive advantage for businesses across industries. Hadoop is a key component of the next-generation data architecture, providing a massively scalable distributed storage and processing platform. Hadoop enables organizations to build new data-driven applications while freeing up resources from existing systems. MapR is a production-ready distribution for Apache Hadoop.

Key Benefits of Hadoop

Change the Economics of Your Data

With the emergence of Hadoop, CIOs are rethinking their enterprise data architecture. Data which was previously too expensive to store, can now be made available for analysis to improve business insights at 1/10 to 1/50 the cost on a per terabyte basis. Hadoop also enables the capturing and storing of data from every touch point in an organization, while eliminating separate silos to process that data (e.g., data transformation, cleansing, analysis, scoring).

Job Opportunities for Hadoop

Big data’ creating big career opportunities for IT pros

Looking at the Big Data market forecast, it looks promising and the upward trend will keep progressing with time. Therefore the job trend or Market is not a short lived phenomenon as Big Data and its technologies are here to stay. Hadoop has the potential to improve job prospects whether you are a fresher or an experienced professional.

Who can learn this course?

This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.

Hadoop Training Syllabus

Introduction and Overview of Hadoop

  • What is Hadoop?
  • History of Hadoop
  • Building Blocks – Hadoop Eco-System
  • Who is behind Hadoop?
  • What Hadoop is good for and what it is not

Hadoop Distributed File System (HDFS)

  • HDFS Overview and Architecture
  • HDFS Installation
  • Hadoop File System Shell
  • File System Java API

Map/Reduce

  • Map/Reduce Overview and Architecture
  • Installation
  • Developing Map/Red Jobs
  • Input and Output Formats
  • Job Configuration
  • Job Submission
  • HDFS as a Source and Sink
  • HBase as a Source and Sink
  • Hadoop Streaming

Pig

  • About Pig,
  • MapReduce Vs Pig
  • Pig Use Cases
  • Programming Structure in Pig
  • Pig Running Modes
  • Pig components
  • Pig Execution
  • Pig Latin Program
  • Data Models in Pig
  • Pig Data Types

Hive

  • Hive Background
  • Hive Use Case
  • About Hive
  • Hive Vs Pig
  • Hive Architecture and Components
  • Metastore in Hive
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Partitions and Buckets
  • Hive Tables(Managed Tables and External Tables)
  • Importing Data
  • Querying Data
  • Managing Outputs
  • Hive Script
  • Hive UDF
  • Hive Demo on Healthcare Data set

HBase

  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Data Loading Techniques
  • ZooKeeper Data Model
  • Zookeeper Service
  • Zookeeper
  • Demos on Bulk Loading
  • Getting and Inserting Data
  • Filters in HBase

 

BIG Data Hadoop Architecture

  • Introduction to BIG Data Hadoop
  • Parallel Computers vs. Distributed Computing technique
  • Hadoop Instalation on your system
  • How to install Hadoop cluster on multiple nodes
  • Hadoop Daemons introduction: Name Node, Data Node, Job Tracker and Task Tracker
  • Exploring the HDFS Apache Web UI & Exploring HDFS (Hadoop Distributed File System)
  • architecture of Name Node (FsImage, EditLog & location of replicas) Secondary Name Node architecture
  • Data Node architecture

Hadoop Developer Tasks

  • Writing a Map-Reduce programme
  • Reading and writing data using HDFS
  • Java BIG Data Hadoop Eclipse integration
  • Mapper in details
  • Reducer in details
  • Using of Combiners
  • Reducing Intermediate Data by Combiners
  • Writing Partitioners for Better Load of Data
  • Balancing and Sorting in HDFS
  • Searching Data in HDFS
  • Indexing data in HDFS
  • Hands-On Exercises

Hadoop Administrative Tasks

  • Routine Administrative Procedures
  • Understanding the dfsadmin and the mradmin Block Scanner and Balancer
  • Health Check of Cluster & Safe mode
  • Data Node commissioning and decommissioning
  • Jobs Monitoring and Debugging on a production
  • cluster Name Node Back up and Recovery in case of name node failure
  • ACL Upgrading Hadoop (Access control list)

 

Learn @HadoopTrainingChennai.IN

http://www.hadooptrainingchennai.in/hadoop-training/ Hadoop Training in chennai is Primarily hands-On & available as

Classroom / Online / Corporate Training

http://www.hadooptrainingchennai.in/contact/

Call – +91 9789968765 / +91 99627 74619 / 044 – 42645495