Hadoop Training in Chennai

Best Hadoop Training in Chennai Greens technologies  provides the best Big Data and Hadoop Training in Chennai. Big Data training by experienced professionals with top placements and 100% certification track record.

Big data is data that is too large to process using traditional methods.

Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead “massively parallel software running on tens, hundreds, or even thousands of servers”

An example of big data might be petabytes (1,024 terabytes) or exabytes (1,024 petabytes) of data consisting of billions to trillions of records of millions of people—all from different sources (e.g. Web, sales, customer contact center, social media, mobile data and so on). The data is typically loosely structured data that is often incomplete and inaccessible. When dealing with larger datasets, organizations face difficulties in being able to create, manipulate, and manage big data. Big data is particularly a problem in business analytics because standard tools and procedures are not designed to search and analyze massive data sets.

Features of Big Data

Best Hadoop Training Chennai – COURSE CONTENT

Technology has developed in an exponential scale and this demands the IT industry growth and in turns the knowledge of employees to run with technology advancement to meet the challenges. In this context, Hadoop plays leading role. Hadoop is an open source java based programming framework which supports processing of large data in different distributed networking environment. It has the capacity to tolerate high degree of errors. It has the capacity to run on systems which involves large number of nodes and trillion bytes of memory. The distributed file system provides higher data transfer rates and allows continuous operations in case of a node failure. This approach reduces the risk of system failure even if significant number of node is affected.

Best Hadoop Training Chennai

Having all the above advancements in mind, we should agree on one thing that is associates should know the ins and outs of rapid growing technology. We are here to serve the demanding needs. We are one of the leading providers of Hadoop Training in Chennai and we have designed the syllabus in such a way to meet all the requirements. We have framed the syllabus that facilitates the needs of beginners and advanced levels professionals.

Hadoop Developer Training

Introduction to OLTP and OLAP Systems.

Datawarehousing Concepts.

What is Big Data?

Characteristics of Big Data – 3V Concept

Hadoop Framework and Big Data introduction

Typical Distributed File System Architecture and disadvantages.

Hadoop Distributed System Architecture Introduction

Hadoop Distributed System Architecture Vs Distributed System Architecture Comparison.

HDFS Internal Architecture and Deep Dive

• HDFS Storage
• Distribution
• Replication

Hadoop – MapReduce Introduction

Hadoop – MapReduce DeepDive

• Mapper
• Reducer
• Shuffle and Sort
• Combiner
• Partitioner

Hadoop MapReduce – Practices

MapReduce Job creation by Java language ( Jar Creation By Eclipse )

(Map, Reduce, Combine, Partitioner exercises )

Hadoop Ecosystems

Introduction

• SQOOP Introduction – Deep Dive and exercises.

• Hive Introduction (Internal Architecture) – Deep Dive and exercises.
• Joins
• Partitioner
• UDF Definition
• Data Load

• Mini Project:

Data Import from MySQL DB to HDFS and Data retrieval by Hive-QL.

• Pig Introduction – Deep Dive
• Pig Script – Hands On (Dump, Store, GroupBy, Joins, Filter Commands) with real time Weblogs.

• Flume Introduction and exercise.

• Oozie Introduction.

No SQL Database

Introduction and Comparison of NoSQL database with RDBMS (SQL) database.

Hbase, ZooKeeper and Internal Architecture Introduction

Hadoop – Administration (Developer level)

• Hadoop Single Node Cluster Configuration.( Cloudera Distributed Hadoop – CDH)
• MultiNode Hadoop Cluster Setup Configuration in CentOS VM.

ETL Tool:

Extraction Transformation Loading Concepts with CDH.

Pentaho ETL Tool introduction and setting up with Hadoop

Pentaho – Hands On Excercises with Hadoop.

• HDFS Copy File.
• Map Reduce Program Execution Samples.
• Pig Script Execution Samples.
• Hive Script Execution Samples.

Analytics

Introduction

Analytics Stages Discussion

Tools and Technologies used for BigData and Analytics Projects Discussion.

Audience:

Java Programmers or who has knowledge on OOPS Concepts and Programming Language skills

Or who wish to take a new journey in IT career.