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Hadoop Training Institutes in Bangalore

Hadoop is an open-source software framework used for distributed storage and processing of large data sets on computer clusters built from commodity hardware. Hadoop allows for the parallel processing of large amounts of data across multiple servers, providing a scalable and cost-effective solution for big data storage and analysis.


Hadoop development involves the creation, deployment, and maintenance of Hadoop-based applications and systems. It requires knowledge of various Hadoop components, such as Hadoop Distributed File System (HDFS), MapReduce, YARN, and Hadoop ecosystem tools like Hive, Pig, and Spark.

Hadoop developers are responsible for designing and implementing Hadoop-based solutions to process and analyze large datasets. They must have a deep understanding of Hadoop architecture and be able to develop and configure Hadoop clusters, write MapReduce jobs, and use Hadoop ecosystem tools for data analysis and management.

Some of the key skills required for Hadoop development include proficiency in Java or other programming languages, experience with distributed computing systems, knowledge of database systems and SQL, and familiarity with Linux operating systems.

Hadoop development is a crucial aspect of big data processing and analysis, and it is used by many organizations to manage and extract insights from their data.

An open-source software framework for storing DATA and running applications on clusters of commodity hardware, Hadoop can process BIG DATA in a distributed environment across clusters of computers using simple programming models.

Hadoop not only offers massive storage for any kind of DATA but also excellent processing power and the ability to handle virtually limitless concurrent tasks. 

Its immense importance stems from its ability to scale up from single servers to hundreds of machines, each offering local computation and storage of its own.

Other major benefits include:

Stores and processes huge amounts of DATA quickly. This is a massive advantage since data volumes and varieties are constantly increasing, especially data from Social Media and Internet Of Things (IoT)
Processes BIG DATA fast, thanks to its distributed computing model. The more computing nodes are used, the more processing power it offers.
Protects DATA and application processing against hardware failure. Suppose a node goes down, then the tasks being performed by it will automatically get redirected to other nodes. This way, it ensures that distributed computing does not fail. Furthermore, multiple copies of all data get stored automatically.
Stores as much data as is wanted and decided to use later. That includes unstructured data like text, images, and videos.
Scales easily the system to handle more data by simply adding more nodes.

Hadoop as an open-source framework is free and uses commodity hardware to store large quantities of data.

Leading Hadoop Training Institute in Bangalore, Elegant IT Services offers the most comprehensive Hadoop course in Bangalore, designed by industry experts, keeping in mind, the corporate requirements and prevalent job scenario. Taught by highly qualified and experienced Hadoop Training Consultants or Trainers, well-equipped to deliver high-quality Hadoop Training across Bangalore, you stand to become familiar with all aspects of the Hadoop and the whole of its ecosystem, WITH the ability to use Hadoop framework in a distributed environment.

Hadoop Training in Bangalore at Elegant IT Services is suitable for Mainframe / Testing professionals; Business Intelligence / Data Warehousing / Analytics professionals; BIG Data Hadoop / Programming Developers; System Administrators; & Anyone who wishes to make a career out of Hadoop.

As a pioneer in the field of IT/Non-IT Training in Bangalore, Elegant IT Services remains mainly focused on revolutionizing learning by making it interesting and motivating. 

WHAT YOU WILL LEARN IN HADOOP COURSE?


Hadoop course in Bangalore at Elegant IT Services covers topic areas ranging from Hadoop basics and ecosystem tools like HDFS, Flume, MapReduce, Hive, and more TO Database concepts; SELECT, CREATE, UPDATE, & DELETE; and more.

At the end of Hadoop Training in Bangalore at Elegant IT Services, you will be able to leverage Hadoop language to create and manage databases; Monitor, manage, troubleshoot, and secure Hadoop clusters; Connect ETL tools with MapReduce, Pig & Hive; Deploy automated and MRUnit testing on Hadoop; Install, configure, and manage Hadoop platform and its associated ecosystem; and more. You will also become well-equipped to build Hadoop solutions that meet business requirements.

You will also get to undergo real-world practicals that will give you an in-depth understanding of the entire Hadoop framework for processing huge volumes of data in real-world scenarios.

The Hadoop course in Bangalore at Elegant IT Services comes with options of regular training classes (daytime classes), weekend training classes, and fast-track training classes, all of which are scheduled normally at a time that best suits you. You will also be made to feel confident and comfortable by our experts in cracking interviews. 

Most importantly, the Hadoop course fees in Bangalore at Elegant IT Services are economical and tailor-made based on training requirements, in line with industry standards. What's more, you also get to acquire a quality Hadoop Certification, from a respectable institute, that is widely recognized.

NOTE: Elegant IT Services also offers 

Online training through which you can access our tutorial Anywhere, Anytime, is extremely cost-effective.  Further, you also get a captivating interactive environment with dynamic content, and e-learning that not only effectively keeps you up-to-date, but interested as well.
Tailored-made Hadoop training courses for Corporates. 

Simply put, Elegant IT Solutions is a complete One-stop-shop for all IT and non-IT Training in Marathahalli, Bangalore.

CAREER OPPORTUNITIES AFTER COMPLETING HADOOP TRAINING


The incredible value of DATA Analytics is being increasingly recognized and given importance by many organizations around the world. It has helped them to acquire better business insights, which in turn has enhanced their decision-making capabilities.

A report by Allied Market Research has estimated that the global Hadoop market will reach a staggering US$ 84.6 billion by 2021, while according to FORBES, the Hadoop market is expected to touch US$ 99.31 billion by 2022 at a CAGR of 42.1%. 

With increased competition among companies leveraging Hadoop for accessing, storing, parsing, and extracting insights from BIG DATA, there will be a huge demand in BIG DATA for skilled certified Hadoop professionals

Reputed American agency McKinsey has predicted that by 2020 end, there could be a massive shortage of 1.5 million data experts. Similarly, Allied Market Research has also forecast that there could be a shortage of 1.4 to 1.9 million Hadoop DATA Analysts in the US alone.

This means massive job opportunities lie ahead for skilled certified Hadoop professionals with all-around prowess in Hadoop tools and technologies. BBC, VODAFONE, Teamware, HP, TCS, Capgemini, etc, are some big names that constantly keep looking for skilled Hadoop professionals.

By doing a Hadoop course in Bangalore at Elegant IT Services, you stand to benefit from the right practical knowledge and are equipped with the most demanding skills in the Hadoop ecosystem. Career job openings would open up ranging from Hadoop / BIG Data Developer to Hadoop Administrator, DATA Engineer, BIG DATA Architect, Machine Language / BIG Data Engineer, Software Development Engineer, BIG DATA Engineer / Consultant, etc.

The future looks exceedingly bright as BIG DATA is galloping at a frenetic pace. This means, that the demand for skilled Hadoop professionals would continue to grow and stay bright for years to come.

For more information and to schedule a free Demo on Hadoop Training, contact Elegant IT Services @ +91 98865 41264

Hadoop Training Institutes in Bangalore Elegant IT Services
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Hadoop Training Course Content

Module 1- Introduction to BigData

  • What is BigData
  • how did data become so big
  • why BigData deserves your attention-
  • use cases of big data
  • Different option of analyzing big data.
  • How can such a huge data are analyzed.

Module 2- Introduction To Hadoop

  • What is Hadoop,
  • History of Hadoop
  • How Hadoop name was given
  • Problems with Traditional Large-Scale Systems and Need for Hadoop
  • Where Hadoop is being used
  • Understanding distributed systems and Hadoop
  • RDBMS and Hadoop

Module 3- Starting Hadoop

  • Setup single node hadoop cluster
  • Configuring Hadoop
  • Understanding Hadoop Architecture
  • Understanding Hadoop configuration files
  • Hadoop Components- HDFS, Map Reduce
  • Overview of Hadoop Processes
  • Overview of Hadoop Distributed File System
  • Name nodes
  • Data nodes
  • The Command-Line Interface
  • The building blocks of Hadoop
  • Setting up SSH for a Hadoop cluster
  • Running Hadoop
  • Web-based cluster UI-NameNode UI, MapReduce UI
  • Hands-On Exercise: Using HDFS commands

Module 4- Understanding MapReduce

  • How MapReduce Works
  • Data flow in MapReduce
  • Map operation
  • Reduce operation
  • MapReduce Program In JAVA using Eclipse
  • Counting words with Hadoop—Running your first program
  • Writing MapReduce Drivers, Mappers and Reducers in Java
  • Real-world "MapReduce" problems
  • Hands-On Exercise: Writing a MapReduce Program and Running a MapReduce Job
  • Java WordCount Code Walkthrough

Module 5- Hadoop Ecosystem

  • Hive
  • Sqoop
  • Pig
  • HBase
  • Flume

Module 6- Extended Subjects on Hive

  • Installing Hive
  • Introduction to Apache Hive
  • Getting data into Hive
  • Hive’s architecture
  • Hive-HQL
  • Query execution
  • Programming Practices and projects in Hive
  • Troubleshooting
  • Hands-On Exercise: Hive Programming

Module 7- Extended Subjects on Sqoop

  • Installing Sqoop
  • Configure Sqoop
  • Import RDBMS data to Hive using Sqoop
  • Export from to Hive to RDBMS using Sqoop
  • Hands-On Exercise: Import data from RDBMS to HDFS and Hive
  • Hands-On Exercise: Export data from HDFS/Hive to RDBM

Module 8- Extended Subjects on Pig

  • Introduction to Apache Pig
  • Install Pig
  • Pig architecture
  • Pig Latin - Reading and writing data using Pig
  • Hands-On Exercise: Programming with pig, Load data, execute data processing statements.

Module 9- Extended Subjects on

  • What is HBase?
  • Install HBase
  • HBase Architecture
  • HBase API
  • Managing large data sets with HBase

Module 10- setup multi-node hadoop cluster

  • Setup multi node hadoop cluster using CentOS dump.

Module 11- flume

Module 12- Advanced Map/reduce-

  • Map Reduce API
  • Combiner, partitioner
  • Custom Data Types
  • Input Formats
  • Output Formats
  • Common MapReduce Algorithms
  • Sorting
  • Searching
  • Indexing

Module 13- advanced hadoop concept

  • Authentication in hadoop,
  • Administration best practices
  • Hardware selection for master nodes (NameNode, Job Tracker, HBase Master)
  • Hardware selection for slave nodes (Data Nodes, Task Trackers, and Region Serv­ers)
  • Cluster growth plan based on storage

Module 14- Summary

  • Case studies
  • Sample Applications
  • References 

Module 15- test

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The content of a Hadoop Development course can vary depending on the level of the course and the specific topics covered, but typically it will cover the following:


Introduction to Big Data and Hadoop: This section provides an overview of Big Data and Hadoop, including its history, concepts, architecture, and components.


Hadoop Distributed File System (HDFS): This section covers HDFS and its components, such as Namenode, Datanode, and Secondary Namenode, and how data is stored and managed in HDFS.


MapReduce: This section covers the MapReduce framework and its implementation in Hadoop, including how it works, how to write MapReduce programs, and how to use Hadoop streaming.


YARN: This section covers YARN (Yet Another Resource Negotiator), which is a cluster management technology in Hadoop that allows different data processing engines to run on the same Hadoop cluster.


Hadoop Ecosystem Tools: This section covers the various tools and technologies that are part of the Hadoop ecosystem, such as Pig, Hive, Sqoop, Flume, and Spark.


Hadoop Cluster Setup: This section covers the process of setting up a Hadoop cluster, including hardware and software requirements, cluster planning, installation, and configuration.


Hadoop Administration: This section covers Hadoop administration tasks, such as cluster monitoring, maintenance, backup and recovery, and security.


Hadoop Programming Languages: This section covers programming languages used in Hadoop development, such as Java, Python, and Scala, and how to develop Hadoop applications using these languages.


Hadoop Best Practices: This section covers best practices for Hadoop development, including data modeling, performance tuning, debugging, and troubleshooting.


Overall, a Hadoop Development course provides students with the knowledge and skills necessary to design, develop, deploy, and manage Hadoop-based solutions for big data processing and analysis. It is a valuable course for anyone interested in big data technology and its application in real-world scenarios.


Hadoop Training Interview Questions

What is Hadoop?

Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the Map Reduce programming model.

What are the main components of Hadoop?

Storage unit– HDFS (NameNode, DataNode) Processing framework– YARN (ResourceManager, NodeManager)

What are the various Hadoop daemons in a Hadoop cluster?

NameNode, DataNode and Secondary NameNode

What are active and passive “NameNodes”?

Active “NameNode” is the “NameNode” which works and runs in the cluster. Passive “NameNode” is a standby “NameNode”, which has similar data as active “NameNode”

What is the purpose of “RecordReader” in Hadoop?

The RecordReader class loads the data from its source and converts it into key value for reading by the Mapper task. The “RecordReader” instance is defined by the “Input Format”.

Course Features

Hadoop Training Course Duration in Bangalore

  • Regular Classes( Morning, Day time & Evening)
    Duration : 30 Days
  • Weekend Classes( Saturday, Sunday & Holidays)
    Duration : 8 Weeks
  • Fast Track Training Program( 5+ Hours Daily)
    Duration : Within 10 days

    • Hadoop Training Trainer Profile

    Our Hadoop Training Trainers in our Elegant IT Services

  • Has more than 8 Years of Experience.
  • Has worked on 3 realtime Hadoop Training projects
  • Is Working in a MNC company in Bangalore
  • Already trained 60+ Students so far.
  • Has strong Theoretical & Practical Knowledge

    • Hadoop Training Centers

    We Provide Hadoop Training in below Centers across Bangalore

  • Hadoop Training in Marathahalli
  • Hadoop Training in Nagawara
  • Hadoop Training in Vishakapatnam

    • Hadoop Training Placements in Bangalore

    Hadoop Training Placement through Elegant IT Services

  • More than 5000+ students Trained
  • 87% percent Placement Record
  • 4627+ Interviews Organized

    • If you are looking for Hadoop Training course in Marathahalli, Whitefield, Varthur, Domlur, AECS Layout, Doddanekundi, Thubarahalli, Nagawara, Nagavara, Banaswadi, HBR Layout, RT Nagar or Hebbal. Please call us or mail your details and our concerned person will get back to you.

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    STUDENTS REVIEWS FOR Hadoop Training

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