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Hadoop

Hadoop

Pivotalsoft is the NO.1 Hadoop training institute offering the best Hadoop training in Visakhapatnam, expert guidance and 100% placement assistance.

Are you seeking a Hadoop job? Are you an IT professional longing for a career change in Hadoop? Are you a data analyst looking to acquire the best Hadoop project support? Are you a team looking for the best Hadoop classroom training, online training and real-time hands-on training on bigdata? Are you looking for a fast track Hadoop course? Are you willing to do one on one Hadoop training in Visakhapatnam? Are you keen to undergo live online training on Hadoop? Are you a college student interested to learn data analytics? Do you need Hadoop project support on the job?

If any of these above questions is hitting your mind, Don't worry...We are here to help you with Hadoop course. From the day 1 until the course completion, Pivotalsoft and our well qualified data analytics tutors will provide you the unique, supportive and convenient learning environment. So, you can make use of this golden opportunity to learn a technology from the scratch until programming.


About Hadoop Course:

With ranked as No.1 HadoopTraining Institute in Visakhapatnam, we have a team of highly qualified instructors with 10+ IT professional experience, mentoring the candidates for the Hadoop Course. This course is for students and developers who have thorough knowledge and experience on the fundamentals of C, Java Programming. This course covers the advanced specialized topics in Hadoop like File System – Concepts, Replication Factor, HDFS Shell Commands, Accessing HDFS using Java API, Map Reduce , Hive, PIG, Sqoop, Hbase, and many more.
Each session will be backed by solid theoretical explanations followed by relevant sample projects (practical) and assignments to ensure the trainee has complete knowledge on the topic. In addition to the practical application development sessions, the training also includes deployment of the application developed by the team of trainees according to the requirements into real-time servers.

Today we live in DATA world. To create a small web application in cell phone to a large enterprise application that run on internet, we use Hadoop programming language. Hadoop programming is simple, object-oriented, robust , secure, architecture-neutral and portable, high performance, interpreted, threaded and dynamic.
Freshers (BE, BTech, BSc, BCA, MSc, MCA & any other graduates*) who want to make career as a Software developer, Engineer, Web Application Developers.can also take up this course.
In Today's world everyone wants to their business to be automated and distribute over internet. World is becoming more smart and internet reached even remote areas. Most of the companies looks for Hadoop because of its secure, distribute, simple, maps easily to real time objects. 90% company’s choice is Hadoop for their business. So join Hadoop training in Visakhapatnam at Pivotalsoft for your career growth.

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Hadoop:

SECTION 1: INTRODUCTION TO HADOOP

  • Introduction to Data and System
  • Types of Data
  • Traditional way of dealing large data and its problems
  • Types of Systems & Scaling
  • What is Big Data
  • Challenges in Big Data
  • Challenges in Traditional Application
  • New Requirements
  • What is Hadoop? Why Hadoop?
  • Brief history of Hadoop
  • Features of Hadoop
  • Hadoop and RDBMS
  • Hadoop Ecosystem’s overview

SECTION 2: HADOOP INSTALLATION

  • Installation in detail
  • Creating Ubuntu image in VMware
  • Downloading Hadoop
  • Installing SSH
  • Configuring Hadoop, HDFS & MapReduce
  • Download, Installation & Configuration Hive
  • Download, Installation & Configuration Pig
  • Download, Installation & Configuration Sqoop
  • Download, Installation & Configuration Hive
  • Configuring Hadoop in Different Modes

SECTION 3: HADOOP DISTRIBUTE FILE SYSTEM(HDFS)

  • File System - Concepts
  • Blocks
  • Replication Factor
  • Version File
  • Safe mode
  • Namespace IDs
  • Purpose of Name Node
  • Purpose of Data Node
  • Purpose of Secondary Name Node
  • Purpose of Job Tracker
  • Purpose of Task Tracker
  • HDFS Shell Commands – copy, delete, create directories etc.
  • Reading and Writing in HDFS
  • Difference of Unix Commands and HDFS commands
  • Hadoop Admin Commands
  • Hands on exercise with Unix and HDFS commands
  • Read / Write in HDFS – Internal Process between Client, NameNode & DataNodes
  • Accessing HDFS using Java API
  • Various Ways of Accessing HDFS
  • Understanding HDFS Java classes and methods
  • Commissioning / DeCommissioning DataNode
  • Balancer
  • Replication Policy
  • Network Distance / Topology Script

SECTION 4:MAP REDUCE PROGRAMMING

  • About MapReduce
  • Understanding block and input splits
  • MapReduce Data types
  • Understanding Writable
  • Data Flow in MapReduce Application
  • Understanding MapReduce problem on datasets
  • MapReduce and Functional Programming
  • Writing MapReduce Application
  • Understanding Mapper function
  • Understanding Reducer Function
  • Understanding Driver
  • Usage of Combiner
  • Usage of Distributed Cache
  • Passing the parameters to mapper and reducer
  • Analysing the Results
  • Log files
  • Input Formats and Output Formats
  • Counters, Skipping Bad and unwanted Records
  • Writing Join’s in MapReduce with 2 Input files. Join Types
  • Execute MapReduce Job - Insights
  • Exercise’s on MapReduce

SECTION 5:HIVE

  • Hive concepts
  • Hive architecture
  • Install and configure hive on cluster
  • Different type of tables in hive
  • Hive library functions
  • Buckets
  • Partitions
  • Joins in hive
  • Inner joins
  • Outer Joins
  • Hive UDF
  • Hive Query Language

SECTION 6: PIG

  • Pig basics
  • Install and configure PIG on a cluster
  • PIG Library functions
  • Pig Vs Hive
  • Write sample Pig Latin scripts
  • Modes of running PIG
  • Running in Grunt shell
  • Running as Java program
  • PIG UDFs

SECTION 7:SQOOP

  • Install and configure Sqoop on cluster
  • Connecting to RDBMS
  • Installing Mysql
  • Import data from Mysql to hive
  • Export data to Mysql
  • Internal mechanism of import/export

CHAPTER 8: HBASE

  • Install and configure Sqoop on cluster
  • HBase concepts
  • HBase architecture
  • Region server architecture
  • File storage architecture
  • HBase basics
  • Column access
  • Scans
  • HBase use cases
  • Install and configure HBase on a multi node cluster
  • Create database, Develop and run sample applications
  • Access data stored in HBase using Java API
  • Map Reduce client to access the HBase data

ABOUT THE TRAINER:

 Best Hadoop trainers

Hadoop For the training of the Bigdata Hadoop we have one of the best teacher for it who has an experience for about 12 years. And has been in this teaching profession for 12 years and is an expert in Bigdata Hadoop. He has undertaken a lot of projects and worked upon those projects. All the projects he has undertaken has been delivered successfully and by getting good feedbacks for it.

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