Big Data Hadoop Certification Training


Hadoop Training Delhi | Big Data Hadoop Course | Hadoop Certification Course Delhi-NCR

Trainings24x7 is a best big data and hadoop training institute in Delhi . It provides quality training on Hadoop in Delhi. This big data course is designed to enhance your skill and knowledge to become a successful Hadoop developer. Core concepts will be covered in the course along with implementation on varied industry cases.

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What is Hadoop?

It is a distributed computing platform which is written in Java (a programming language). Hadoop incorporates features similar to Google File System and MapReduce.


In 2006, the hadoop project was founded by Doug Cutting, was an effort to create open source implementations of internal systems which is now being used by web-scale organizations like Google, Facebook, and Yahoo to manage and process massive data(s) volumes. In short, Hadoop makes sure parallel and distributed processing of massive data across

Industry-standard servers (occurring on the same machines), and can scale for an indefinite period.

With Hadoop , a large amount of data of all varieties is continually stored and added multiple processing and analytics frameworks rather than moving the data(s) because moving data is typical and very expensive.


What are the career prospects in Hadoop?

According to experts – By end of 2018, India alone will face a shortage of close to 2 Lac Data Scientists. Experts predict, a significant gap in job openings and professionals with expertise in big data skills. Thus, 2016 is the right time for IT professionals to make the most of this opportunity by sharpening their big data skill set. As the Indian Big Data Hadoop industry anticipated to grow by five-fold in the next few years, 2016 will sense an increased temptation of excellent job prospects for professionals with big data skills in the analytics sector.


Hadoop or Big Data is a phrase which describes am immense amount of data (data may be structured or unstructured). Hadoop skills are in high demand due to growing enterprise interest in Hadoop and its related technologies are driving more demand for professionals who are Hadoop certified (big data skills). Hadoop is the new data warehouse. It is the new source of data” within the enterprise and there is a premium on people who know enough about the guts of Hadoop” to help companies take advantage of it. Hadoop allows organizations to store and manage a large amount volumes(structured and unstructured) data than can be managed affordably by today’s relational database management systems.


Hadoop is the new data warehouse. It is the new source of data” within the enterprise and there is a premium on people who know enough about the guts of Hadoop” to help companies take advantage of it.Hadoop allows organizations to store and manage a large amount volumes (structured and unstructured) data than can be managed affordably by today’s relational database management systems.


Demand for Hadoop professionals falls into three broad categories: data analysts or data scientists; data engineers; and IT data management professionals. The skills required for this role are similar to those required for doing the same tasks in traditional relational database and data warehouse environments.


What is this course about?

The course is designed well and the Hadoop concepts explained in a very clear style which will give you an indept knowledge on Hadoop architecture and basic hadoop programming concept. The examples are very easy and beautifully illustrated to understand. This Hadoop training course in Delhi by Trainings24x7 will get you prepared for Hadoop certification. This Big data hadoop training not just equips you with essential skills of Hadoop, but also gives you the essential work experience in Big Data Hadoop via implementation of real life industry projects.


What are the objectives of this course?

Course Objectives
By the end of the course,  you will:
1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics



Who should do this course?

Today, Hadoop has become  a cornerstone of every business technology professional. To stay ahead in the game, Hadoop has become a must-know technology for the following professionals:
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals



Are you confused? Is this course right for you?

If you work with database or are a software engineer/ developer, you should not let go off the chance to learn Big data Hadoop technology.


 What are the training mode, Fee, and duration?

 Training mode: Instructor-led training.

Course duration: 2 Months

Fee: 18,000


How do I register for this course?

You can register with us by visiting our this page.


What are the payments mode?

Payment towards Enrolment: Full payment of the enrolment fee is due at the time of registration.Payment can be done through the following means:
Cheque or Demand Draft favoring “Trainings24x7” Payable at New Delhi. This should be couriered to the following address:
301, F-16, Preet Vihar
New Delhi-110092
Phone: +91 11 4280-1314
Bank Transfer:
Payee Name: Trainings24x7
Bank Name: HDFC Bank Limited
Account Number: HDFC Bank A/c No : 50200 00210 6684
IFSC Code: HDFC0001561


What are the refund and cancellation policy?

Kindly visit our refund and cancellation policy.


Will you get training attending certificate after completion of the course?



Who are the trainers?

The training is imparted by Hadoop certified experts trainers who have both real industry experience as well as experience of providing such trainings. If you want more about trainers drop us an email here


What if I have more queries?

In case of more queries, you can either,

-Call us at (+91) – 9871115065 (Ms. Farheen)

-Drop an email to either OR

-Visit our contact us page


I want to visit your office. Can I?

Our physical address is –

Business Days: Wednesday To Monday 10AM to 6PM (IST)
301 F-16, Preet Vihar,

New Delhi – 110092


Course Curriculum of Big data and Hadoop

1.    Understanding Big data and Hadoop  
.        Understanding of Big data.
·        Limitations and Solutions of existing Data Analytics Architecture.
·        Hadoop feature and Hadoop Ecosystem.
·        Hadoop 2.x core Components.
·        Hadoop storage: HDFS and Hadoop Processing: MapReduce.
·        Anatomy of File write and Read and Rack Awareness.


2.    Hadoop Architecture and HDFS 
·        HadoopInstallation and Configuration in system.
·        Common Hadoop Shell Commands.
·        Hadoop Configuration file.
·        Password-Less SSH.
·        Hadoop copy Commands.


3.    HadoopMapReduce Framework  |
·        MapReduce Use Cases.
·        Traditional way VsMapReduce way.
·        Hadoop 2.x MapReduce Architecture and components
·        Demo on MapReduce.
·        Input Splits.
·        Relation between InputSplit and HDFS Blocks.
·        MapReduce job submission Flow.
·         MapReduce: Combiner and Partitioner..
·         Map-Side Joins
·        Reduce-Side Joins


4.    Pig 
·        Pig Installation and Configuration.
·        About Pig.
·        MapReduceVs Pig.
·        Use Cases.
·        Programming structure in Pig.
·        Pig Running Modes.
·        Pig Components and Pig execution.
·        Pig Latin Program.
·        Data Models and Data types in Pig.
·        Relations Operators and File Loaders.
·        Group and COGROUP Operators.
·        Joins and COGROUP in Pig.
·        Union.
·        Diagnostic Operators..


5.     Hive        
·        Hive Installation and Configuration.
·        About Hive and Use Cases
·        Hive Vs Pig
·        Hive Architecture and Components.
·        MetaStore in Hive and Limitations of Hive.
·        Comparison with Traditional Databases.
·        Hive data types and data models.
·        Partitions and Buckets.
·        Hive Tables (Managed Tables and External Tables).
·        Importing Data.
·        Querying Data.
·        Hive scripts.
·        Hive QL: Joining Tables.
·        Hive dynamic partitioning.
·        Buckting


6.    Hbase    
·       Introduction to NoSQL database and Hbase.
·       Hbase Installation and Configuration.
·       HbaseVs RDBMS.
·       Hbase Components and Architecture.
·       Hbase Data Models and Shell.
·       Data Loading Techniques and Filter in Hbase.
·       Introduction to Zookeeper and Data Model.
·        Zookeeper Service.
·       Hands on Bulk data loading.
·       Introduction on Oozie.


7.       Data Loading Technique using Sqoop.
·        Load table into MySQL
·        Import MySQL to HDFS
·        Export Table HDFS to MySQL
·        Import part of table MYSQL to HDFS
·        Import selected Data From Table to HDFS
·        Import Data HDFS to Hive
·        Cloudera data to Windows
·        Windows Data to Cloudera
·        Local System data to cloudera

-40 hours Instructor led, Practical training

-Weekend batch: interactive classes held on Saturdays & Sundays OR Sundays ONLY

-Get the benefits of learning in an interactive environment.

-Interact with the instructors and fellow participants in classroom Training that always has an edge over the Online or Live Online Training.

-We will award you with a certificate after working on a real-world project post the course.

-Course material.

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