Big Data Hadoop Training

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Master Big Data analytics with Hadoop Training, expanding your data science expertise.

Last Updated:November 22, 2024

Course Duration: 40h

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About Course

We provide 100% job oriented Big Data Hadoop Training Online and Placement with real-time project work to gain hands on experience. Big Data/Hadoop Training Course developed by Certified professionals to give industry the best Big Data/Hadoop Training online training.

Course Highlights

Course Curriculum

Introduction to Hadoop and Big Data

What is Big Data?
What are the challenges for processing big data?
What technologies support big data?
What is Hadoop?
Why Hadoop?
History of Hadoop
Use cases of Hadoop
RDBMS vsHadoop
When to use and when not to use Hadoop
Ecosystem tour
Vendor comparison
Hardware Recommendations & Statistics

HDFS: Hadoop Distributed File System

MapReduce

PIG

HIVE

HBASE

SQOOP

Flume

SPARK WITH SCALA

Interview Preparation

Course Description

Learn Big Data Hadoop Training Online and become an expert in the fastest growing technology which has taken data storage and processing to the next level. Hadoop is a revolutionary open-source framework for software programming that took the data storage and processing to next level. With its tremendous capability to store and process huge clusters of data, it unveiled opportunities to business around the world with artificial intelligence. It stores data and runs applications on clusters in commodity hardware which massively reduces the cost of installation and maintenance. It provides huge storage for any kind of data, enormous processing power and to have all kinds of analytics such as real-time analytics, predictive analytics data and so on at a click of a mouse.

Our extensive 40+ hours of Big Data/Hadoop course cover both basic and advanced topics to help you become an expert Hadoop Professional.
By attending our Big Data/Hadoop Training online course, you will understand the core concepts of Big Data and Hadoop, and will be proficient in Hadoop Distributed File System (HDFS), MapReduce, Pig, Hive, HBase, SQOOP, and Flume.
We provide you with assignments, training material and recorded videos for a complete learning experience.
Our Instructors are working professionals who give you real world knowledge and examples, and are the best in their field.

What is Hadoop?

Hadoop is a revolutionary open-source framework for software programming that took the data storage and processing to next level. With its tremendous capability to store and process huge clusters of data, it unveiled opportunities to business around the world. It stores data and runs applications on clusters in commodity hardware which massively reduces the cost of installation and maintenance. It provides huge storage for any kind of data, enormous processing power and to have all kinds of analyticssuch as real-time analytics, predictive analytics data and so on at a click of a mouse.

The volume of data handled by organizations keeps growing exponentially with each passing day! This ever-demanding scenario calls for powerful big data overview handling solutions such as Hadoop for a truly data-driven decision-making approach.

Acquiring proper training on Hadoop technology would be a boon to professionals in terms of using Hadoop resources effectively and save huge time and effort.

Who all can learn?

Big Data/ Hadoop course is for Students/Non-IT beginnerswho want to become an expert in the fastest growing technology.

Architects, Software Administrators, Java(Any IT) Developers and testers who want to build effective data processing applications by querying Apache Hadoop.
Technical Managers involved in the development process also take active participation in Hadoop Developer classes.
Business Analysts, Database Administrators, and SQL Developers
Software Engineers with a background in ETL/Programming and Managers dealing with latest technologies and data management.
.NET Developers and Data Analysts who develop applications and perform big data analysis using the Hortonworks Data Platform for Windows will also find this helpful.

Why learn Big Data and Hadoop?

Leading multinational companies are hiring for Hadoop technology – Big Data & Hadoop market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 (Forbes).
Streaming Job Opportunities – McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts (McKinsey Report).
Hadoop skills will boost salary packages – Average annual salary of Big Data Hadoop Developers is around $135k (Indeed.com Salary Data).
Future of Big Data and Hadoop looks bright – The world’s technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data is generated

What does a Hadoop Developer do?

A Hadoop Developer is responsible for programming and development of business applications and software on the Hadoop Platform. A Hadoop Developer is also involved in designing, developing, installing, configuring, and maintaining the Hadoop application as well as performing analysis.

Students who start as Hadoop Developers evolve into Hadoop Administrators by the end of a certification course and in the process, guarantee a bright future.

Big Data/Hadoop Course Highlights

Our hadoop certification training is an instructor-led live online class.
Our online course covers everything from Introduction to Big Data and Hadoop to advanced topics to help you become proficient in Big Data/Hadoop.
A detailed explanation and practical examples with special emphasis on HDFS and MapReduce.
What is Apache Spark, and understanding its Architecture.
Introduction to Spark-core, understanding the Basic component of Spark -RDD
Creating RDDs, Operations in RDD
Creating functions in Spark and passing parameters
Understanding RDD Transformations and Actions, Understanding RDD Persistence and Caching
Examples for RDDs
Examples of Spark SQL
Work on Pig, Apache Hive, Apache HBase, and various other Big Data Hadoop related topics in an easy to understand manner.
Hands on assignments for thorough understanding of concepts.
Real-time Proof of Concept.
Included in our training are free Core Java class videos.
Practice on software tools to gain hands-on experience.
Work on real time project related scenarios and examples to give you the feel of real work environment.
Group discussions, Mock interview sessions, and Interview questions to prepare you to attend interviews confidently.
Access to Instructor through email to address any questions.
Lifetime access to the Big Data Hadoop Online Training to help you get comfortable with all the concepts and information.
Training Material and Recorded Videos for a complete learning experience.
Guidance on Interview and Resume Preparation.

Try our Free Demo Session Today! Read more about why you should do your course from H2K Infosys here

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Hadoop Big Data Interview Questions

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CJ Bhinder

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I am taking a Selenium automation course with trainer Srinivas. It is great going 👍 Srinivas is a heck of a teacher. I will highly recommend Infosys and Srinivas to anyone looking for software training. Also, I'd like to applaude all the help from Chris Arun from the support team. Well done, guys, at H2K Infosys!!

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I'm currently learning Selenium Automation with Java course. Srinivas is the best experienced instructor. I really appreciate Srinivas teaching style, it's helped me understand the complex topics well. He explains with lot of patience and with real time examples in easy and understandable way. He covered every topic in great detail. Thank you.

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Big Data Hadoop Training

About Course

What you'll learn?

Job Opportunities

Who Can Join

Material Includes

Course Highlights

Course Curriculum

Introduction to Hadoop and Big Data

What is Big Data?

What are the challenges for processing big data?

What technologies support big data?

What is Hadoop?

Why Hadoop?

History of Hadoop

Use cases of Hadoop

RDBMS vsHadoop

When to use and when not to use Hadoop

Ecosystem tour

Vendor comparison

Hardware Recommendations & Statistics

HDFS: Hadoop Distributed File System

Significance of HDFS in Hadoop

Features of HDFS

5 daemons of Hadoop

Data Storage in HDFS

Accessing HDFS

Fault tolerance

Download Hadoop

Installation and set-up of Hadoop

HDFS Federation

MapReduce

Map Reduce Story

Map Reduce Architecture

How Map Reduce works

Developing Map Reduce

Map Reduce Programming Model

Creating Input and Output Formats in Map Reduce Jobs

Data localization in Map Reduce

Combiner (Mini Reducer) and Partitioner

Hadoop I/O

Distributed cache

PIG

Introduction to Apache Pig

Map Reduce Vs. Apache Pig

SQL vs. Apache Pig

Different data types in Pig

Modes of Execution in Pig

Grunt shell

Loading data

Exploring Pig

Latin commands

HIVE

Hive introduction

Hive architecture

Hive vs RDBMS

HiveQL and the shell

Managing tables (external vs managed)

Data types and schemas

Partitions and buckets

HBASE

Architecture and schema design

HBase vs. RDBMS

HMaster and Region Servers

Column Families and Regions

Write pipeline

Read pipeline

HBase commands

SQOOP

Introduction

Sqoop syntax

Database connection

Importing data

Flume

Introduction

Flume syntax

Database connection

Importing data

SPARK WITH SCALA

Introduction to Apache Spark