Big Data Analytics and Hadoop Training in Delhi

Big Data Hadoop Courses in Delhi

Get  Hadoop Training in Delhi By Industry experts and Become a Professional Big Data Hadoop Consultant.

Organizations, these days and ages are counting on huge amounts of data. Although simple technology isn’t able to process such a huge amount of data, they need a reliable source to process such mountainous data. And in there, big data Hadoop comes into play.


What’s Hadoop? From where did it come and what’s its history?

Hadoop is an open source framework, which organizations all over the world use to store data and run applications on clusters of commodity hardware. There is the facility to store any kind of data as it has massive storage capacity. It can also process huge data in no time. Furthermore, Hadoop can handle virtually unlimited concurrent tasks. With Hadoop no data is too big and in today’s hyper connected world where more and more data is being created every day Hadoop breakthrough advantages mean that businesses and organizations can now find value in data that was recently considered useless.


Historical overview

Before you jump into Hadoop training, let’s take a historical overview of it. As 1990s and early 2000s witnessed a boom in World Wide Web, search engines and indexes came into existence to help people find relevant results. In its earlier stages, the search results were mapped by the humans, but as the technology got sophisticated, everything became algorithmic. Web crawlers came into existence and many search engines like AltaVista, Yahoo, MSN etc. took off.


Nutch an open-source web search engine was one of such projects. It was created by Dough Cutting and Mike Cafarella. The main motive of its creation was to return web search results faster with the help of distributing data and calculations via different computers so that to accomplish multiple tasks concurrently. In the mean time, Google was in the making too, which was based on the same theory.


In 2006, Cutting became a part of Yahoo and kept working on Nutch project and ideas based on Google’s early task with automating distributed data storage as well as processing. The Nutch project had two parts- the web crawler part which remained as Nutch. Second the distributed computing as well as processing that became Hadoop (the mascot was taken from Cutting’s toy elephant). Hadoop was launched as an open-source project by Yahoo in 2008. Now, its framework and ecosystem of technologies are maintained by Apache Software Foundation- which is a universal community of software developers and contributors.


Before you go for Hadoop certification, let’s understand why is it important?

Hadoop has the ability to store as well as process bulks of data in any format. With data volumes going larger day by day with the evolution of social media, considering this technology is really, really important.

Unmatched computing power: The distributed computing model of Hadoop processes big data in a fast pace. The more computing nodes, the more processing power.

Effective fault tolerance: There is no need to panic in hardware failure as Hadoop has the facility to protect data and applications. In case a node fails, jobs are automatically redirected to other nodes hence no obstruction in distributed computing. It also stores multiple copies of data.

Superb flexibility: There is no need to preprocess data before its storage just you used to do in conventional relational databases. You can store as much data as you want and use it later. Unstructured, text, images and videos can also be stored easily.

Scalability: By adding nodes you can enhance your system to handle more data. There is no need to be a pro in system administration.

Affordable: As the open source network is free, it uses commodity hardware for the storage of large data.


Which Companies Hire Hadoop Professionals?

As the industries are adapting big data as a solution to their unsolved data problems, big data analysis is going to be the next boom. Every section of an organization, like marketing, HR, and finance are having direct access to their data. This is bringing fresh job opportunities and organizations are looking for Hadoop professionals in all sections.


Organizations all over the world are running behind customer analytics not because of the data re big but because of its potential. Online transactions, browsing history, social media posts and what not!


Even demonetization in India has led to drastic usage of virtual data. Now banks are digitalizing, payments are going cashless and so on. All these denote the evolvement of virtual data more than ever in India. Demonetization has compelled every transaction go electronic; hence, there lies a vast, vast, vast opportunity for big data Hadoop professionals. Currently Citi Bank, Yes Bank and American Express are using this technology very aggressively while State bank Of India is planning to implement Hadoop Technology.


According to a study by 2020, 80\% of all Fortune 500 companies will adapt to Hadoop, while 20\% will join the same bandwagon by watching the trend around.

Here is a list of companies who already are using Hadoop and hire Hadoop professionals:

  • Facebook
  • LinkedIn
  • Yahoo
  • Twitter
  • RBS
  • HCL
  • United Health Group
  • Amazon
  • Snapdeal
  • Citi Bank
  • Infosys
  • Adobe
  • Accenture
  • American Express
  • Cognizant
  • Impetus
  • Yes Bank and more

From big companies to banks, etc almost every organization is joining the bandwagon of big data Hadoop that’s opening up new avenues of Hadoop professionals. And, to keep breast with new technology, people are enrolling for big data certification courses!


What’s Big Data Certification?

Big data certification is actually a course done in big data Hadoop and analytics. From diploma to advance diploma and vice versa, the certification lets you establish as a big data professional in the industry.Professionals can also go through various online hadoop tutorial to clear their concepts.


Organizations these days are looking for more and better ways to process the large amounts of data available to them and retrieve the information they need to succeed. Big data system administrators are responsible for storing, managing and transferring very large sets of data. This makes it available for further analysis. BI or Business Intelligence entails the collection and management of information to report on business activities. It often pulls data from large data sets.


It is a complete big data Hadoop course designed specifically for people who want to settle their career in the field of Big Data. This course is designed by industry experts; hence, As per the current market requirement this course is very helpful for professionals in getting a Job in Big data Hadoop. Not only it provides in-depth insights but also teaches you about big data and Hadoop modules. Data analytics courses, training courses in Hadoop development, administration, testing and others are its segments that you learn one by one.


The Madrid Software Training Solutions is the well-established Hadoop institute in Delhi that provides best Hadoop training in Delhi.


Career and Salary Structure

With surge in big data, every day more and more students are aspiring to join the same bandwagon. They want to become certified Hadoop professionals as a result of which certification courses are growing in demands. The target audience includes IT professionals with knowledge in data mining, analytics, data management, BI and an interest in statistics and mathematics.


Industry is seeking such individuals. Even they are giving a whooping salary to certified professionals. The average salary of such professionals ranges from $95,000 to $100,000. For senior professionals it can go from $130,000 to $175,000.


You can turn yourself into a certified professional via a professional Hadoop Institute in Noida, Gurgaon, Ghaziabad and other parts of Delhi. Madrid Software Training Solutions offers Hadoop Training in Gurgaon, Delhi, Ghaziabad and other parts at most affordable prices.


Some FAQs (Frequently Asked Questions) to sort out your doubts

1. What you’re going to learn in this Big Data Hadoop Course?

Here are a few snapshots of training materials and courses we teach you-

  • Master fundamentals of Hadoop 2.7 and YARN and write applications using them.
  • Setting up Single node and Multi node cluster.
  • Master HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, Pig, Zookeeper, HBase
  • Master Hadoop administration activities like cluster managing,monitoring,administration and troubleshooting.
  • Complete Understanding of MapReduce and HDFS Concepts.
  • Complete understanding of HBase the Hadoop database.
  • Understand Data Loading techniques using sqoop and flumes.
  • Practice real-life projects using Hadoop.
  • Complete understanding of Data Analytics through Pig and Hive.
  • Learn to write complex MapReduce programme.
  • Detailed understanding of Big Data analytics.
  • Be equipped to clear Big Data Hadoop Certification.


2. Who can enroll for Big Data Hadoop Training Course?

  • Programming Developers and System Administrators
  • Experienced working professionals , Project managers
  • Business Intelligence, Data warehousing and Analytics Professionals
  • Mainframe Professionals, Architects & Testing Professionals
  • MBA professionals, and even non-technical professionals

Also, graduates aspiring to learn the latest Big Data technology can enroll for Hadoop Certification or Data Science Course in Delhi ncr.


3. What are the prerequisites or qualifications for undertaking big data analytics or Hadoop Certification Training?

To your information, there are no prerequisites or pre set of qualifications for big data training. You just need fundamental knowledge of SQL, UNIX and Java, however if you don’t, you can enroll for this fundamental courses at first. Madrid Software Training Solutions provides complementary courses in UNIX and Java to polish your skills needed for Hadoop. With these fundamental courses you can get the needed base for big data Hadoop training. There won’t be any problem, as anyone from any background like Engineering and MBA can learn this.


4. Why you should opt for Big Data Training?

There are so many reasons that prove that big data training courses are beneficial. Even in a few years, big data will be the largest job building industry. Take a look at the figures that state about it.

  • By 2021, Global Hadoop Market to Reach $84.6 Billion by 2021
  • By 2018, there will be a shortage of 1.4 -1.9 million Hadoop Data Analysts in US alone
  • Hadoop Administrator in the US can get a salary of $123,000

Remember, big data is the fastest and most buzzing technology for processing and handling large amounts of data. Almost every MNC or topmost company uses big data Hadoop to manage their data. Hence, there is a huge demand in reputed companies for certified professionals. A certificate course in big data training will help you get the job of your dream!


5. From which parts do our learners come from?

Professionals and students from all over Delhi have benefitted from Madrid Software Training Solutions’ various Hadoop certifications courses. Although from each and every corner of Delhi students enroll for our courses, some of the most popular places include Noida, Gurgaon, Faridabad, Ghaziabad and more.

Our big data Hadoop training is one of the most popular courses in the industry today. Being a popular Hadoop training institute in Delhi we have helped hundreds and thousands of professionals to bag jobs in reputed companies. Our training course includes interactive learning, 24*7 support for your questions, mobile access, case studies, project and even class recordings. We also give an overview of APACHE Spark to help you understand distributed data processing for further help.

The program has been designed by keeping every individual’s different needs in mind. So it doesn’t matter whether you’re from a technical background or non-technical background, our Hadoop training course is going to help you a lot. Students from arts, match, commerce can engage themselves into Hadoop course and get insight into customer behavior and industry.

For industry professionals and CEOs we have special big data training courses. We facilitate weekend classes for them that they can enroll for on weekend without obstructing their day-to-day tasks or jobs.


6. Is there any Free Trail Class?

Yes, Students/Professionals can take a free trial class and clarify their doubts with the trainer.


7. Who are the Instructors?

All of our trainers are working professionals with an average experience of 8-10 years.


So go and join a Big Data Hadoop Training Institute in Delhi now and open up immense opportunities for a bright career! 

Hadoop Developer  Course :-

1. Introduction to Hadoop and Big Data

  • Introduction to Big Data
  • Introduction to Hadoop
  • Why Hadoop & Hadoop Fundamental Concepts
  • History of Hadoop with Hadoopable problems
  • Scenarios where Hadoop is used
  • Available version Hadoop 1.x & 2.x
  • Overview of batch processing and real time data analytics using Hadoop
  • Hadoop vendors - Apache , Cloudera , Hortonworks
  • Hadoop services - HDFS , MapReduce , YARN
  • Introduction to Hadoop Ecosystem components ( Hive, Hbase, Pig, Sqoop, Flume, Zookeeper, Oozie, Kafka, Spark )


2. Cluster setup ( Hadoop 1.x )

  • Linux VM installation on system for Hadoop cluster using Oracle Virtual Box
  • Preparing nodes for Hadoop and VM settings
  • Install Java and configure password less SSH across nodes
  • Basic Linux commands
  • Hadoop 1.x single node deployment
  • Hadoop Daemons - NameNode, JobTacker, DataNode, TaskTracker, Secondary NameNode
  • Hadoop configuration files and running
  • Important web URLs and Logs for Hadoop
  • Run HDFS and Linux commands
  • Hadoop 1.x multi-mode deployment
  • Run sample jobs in Hadoop single and multi-node clusters


3. HDFS Concepts

  • HDFS Design Goals
  • Understand  Blocks and how to configure block size
  • Block replication and replication factor
  • Understand Hadoop Rack Awareness and configure racks in Hadoop
  • File read and write anatomy in HDFS
  • Enable HDFS Tash
  • Configure HDFS Name and space Quota
  • Configure and use WebHDFS ( Rest API For HDFS )
  • Health monitoring using FSCK command
  • Understand NameNode Safemode, File system image and edits
  • Configure Secondary NameNode and use checkpointing process to provide NameNode failover
  • HDFS DFSAdmin and File system shell commands
  • Hadoop NameNode / DataNode directory structure
  • HDFS permissions model
  • HDFS Offline Image Viewer


4. MapReduce Concepts

  • Introduction to MapReduce
  • MapReduce Architecture
  • Understanding the concept of Mappers & Reducers
  • Anatomy of MapReduce program
  • Phases of a MapReduce progam
  • Data-types in Hadoop MapReduce
  • Driver, Mapper and Reducer classes
  • InputSplit and RecordReader
  • Input format and Output format in Hadoop
  • Concepts of Combiner and Partitioner
  • Running and Monitoring MapReduce jobs
  • Writing your own MapReduce job using MapReduce API


5. Cluster setup ( Hadoop 2.x )

  • Hadoop 1.x Limitations
  • Design Goals for Hadoop 2.x
  • Introduction to Hadoop 2.x
  • Introduction to YARN
  • Components of YARN - Resource Manager, Node Manager, Application Master
  • Deprecated properties
  • Hadoop 2.x Single node deployment
  • Hadoop 2.x Multi node deployment


6. HDFS High Availability and Federation

  • Introduction to HDFS Federation
  • Understand Name service ID and Block pools
  • Introduction to HDFS High Availability
  • Failover mechanisms in Hadoop 1.x
  • Concept of Active and StandBy NameNode
  • Configuring Journal Nodes and avoiding split brain scenario
  • Automatic and manual failover techniques in HA using Zookeeper and ZKFC
  • HDFS HAadmin commands


7. YARN - Yet Another Resource Negotiator

  • YARN Architecture
  • Yarn Components - Resource Manager, Node Manager, Job History Server, Application Time LIne Server, MR Application Master
  • YARN Application execution flow
  • Running and Monitoring YARN Applications
  • Understand and Configure Capacity / Fair Schedulers in YARN
  • Define and configure Queues
  • Job History Server / Application Time Line Server
  • YARN Rest API
  • Writng and executing YARN applications


8. Hive

  • Problems with No-SQL Database
  • Introduction & Installation Hive
  • Data Types & Introduction to SQL
  • Hive-SQL: DML & DDL
  • Hive-SQL: Views & Indexes
  • Hive User Defined Functions
  • Configuration to HBase
  • Hive Thrift Service 
  • Introduction to HCatalog
  • Install and configure HCatalog services


9. Apache Flume 

  • Introduction to Flume
  • Flume Architecture and Installation
  • Configuration for Flume
  • Importing Data using Flume


10. Apache Pig

  • Introduction to Pig
  • Pig Installation
  • Accessing Pig Grunt Shell
  • Pig data Types
  • Pig Commands
  • Pig Relational Operators
  • Pig User Defined Functions
  • Configure PIG to use HCatalog


11. Apache Sqoop

  • Introduction to Sqoop
  • Sqoop Architecture and installation
  • Import Data using Sqoop in HDFS
  • Import all tables in Sqoop
  • Export data from HDFS


12. Apache Zookeeper

  • Introduction to Apache Zookeeper
  • Zookeeper stand alone installation
  • Zookeeper Clustered installation
  • Understand Znodes and Ephemeral nodes
  • Manage Znodes using Java API
  • Zookeeper four letter word commands


13. Apache Oozie

  • Introduction to Oozie
  • Oozie Architecture
  • Oozie server installation and configuration
  • Design Workflows, Coordinator Jobs, Bundle Jobs in Oozie


14. Apache Hbase

  • Introduction to Hbase
  • Hbase Architecture
  • HBase components - Hbase master and Region servers
  • Hbase installation and configurations
  • Create sample tables and queries on HBase


15. Apache Spark / Storm / Kafka

  • Introduction to Spark / Storm / Kafka



Hadoop Administrator Course :-

1. The Motivation & Limitation for Hadoop

  • Problems with Traditional Large Scale Systems
  • Why Hadoop & Hadoop Fundamental Concepts
  • History of Hadoop with Hadoopable problems
  • Motivation & Limitation of Hadoop
  • Available version Hadoop 1.x & 2.x
  • Available Distributions of Hadoop (Cloudera, Hortonworks)
  • Hadoop Projects & Components
  • The Hadoop Distributed File System (HDFS)

2. Hadoop Ecosystem& Cluster

Hadoop Ecosystem projects & Components overview 

  • HDFS – File System
  •  HBase – The Hadoop Database
  •  Hive – SQL Engine

Hadoop Architecture overview Cluster Daemons&Its Functions

  •  Name Node
  •  Secondary Node
  •  Data Nodes 

3. Planning Hadoop Cluster & Initial Configuration

  • General Planning Considerations
  • Choosing the Right Hardware
  • Network Considerations
  • Configuring Nodes
  • Planning for Cluster & Its Management
  • Types of Deployment
  • Cloudera Manager 

4. Installation & Deployment of Hadoop

  • Installing Hadoop (Cloudera)
  • Installation – Pig, Hive, HBase, Cassandra etc
  • Specifying the Hadoop Configuration
  • Performing Initial HDFS Configuration
  • Performing Initial YARN and MapReduce Configuration
  • Hadoop Logging & Cluster Monitoring 

5. Load Data and Run Application

  • Ingesting Data from External Sources with Flume
  • Ingesting Data from Relational Databases with Sqoop
  • REST Interfaces
  • Best Practices for Importing Data 

6. Manage, Maintain, Monitor, and troubleshoot of cluster

  • General System Monitoring
  • Monitoring Hadoop Clusters
  • Common Troubleshooting Hadoop Clusters
  • Common Misconfigurations
  • Managing Running Jobs
  • Scheduling Hadoop Jobs

7. Upgrade, Rolling andBackup

  • Cluster Upgrading
  • Checking HDFS Status
  • Adding and Removing Cluster Nodes
  • Name Node Meta Data Backup
  • Data Backup
  • Distributed Copy
  • Parallel Data Ingestion 

8. Conclusion & FAQs

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