Hadoop Training

Get Hadoop Online Training with real time experts in a real-time project setup such that any participant can be able to successfully build an independent Hadoop application under the emerging big data technology. Hadoop is one of the most widely used open source framework to build a big data application with less environmental effort & as well as compatibilities in a short period of time. It is a vast & more demanding big data framework where the core concepts are built fundamentally in Java. But, that doesn't mean Java is a pre-requisite before learning Hadoop framework. We offer Hadoop course more in a practical oriented way to ensure all the participants gets the best in both technically & as well as technologically.
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1325 Ratings
1658 Learners
45 Hours
25 Hours
Big Data
365 Days
24 / 7 Support
Intermediate
Online Classroom
Attend our Instructor Led Online Virtual Classroom
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One to One Training
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About Course

Gangboard's Big Data and Hadoop Online Training will clearly explains MapReduce Concepts with the help of industry Experts. Our Trainer's will also teach you how to handle Apache Hadoop ecosystems like Hive, Pig, and HBase  with live Project's.This course gives you a clear understanding about how to build a Hadoop application using the relevant frameworks under the suitable Apache Project ecosystem in a real time scenario and that will help you to build a custom application by yourself. We customized this course curriculum to meet the current industry standards. We guarantee that even any participant who is not familiar with much technical background, can easily learn & excel this Hadoop training and build an application at the end of this course completion.

At end of this Hadoop training by GangBoard, you will be able to,

  • Learn how to write HDFS/Mapreduce programs
  • Learn how to write & utilize effectively Hive & Pig Scripts
  • Understand basically how the administration part is even handled for a cluster setup
  • Learn how to write & utilize effectively Flume & Zookeeper mechanisms
  • Understand better on the internal architecture/design involved on all the Hadoop platforms
  • Understand how to enhance your coding skills using Hbase & Sqoop tools
  • To understand better on how a real time projects fit into the big data platform

Hadoop Training is a basic one to start your career in an emerging & one of the demanding technology in the market. This training will be suitable for,

  • Fresh Graduates
  • College / School Students
  • Job Seekers
  • Who wants to learn more on the practical applications
  • Anyone wants to know how the industry is migrating to the new technology

Prerequisite: Knowledge in computers and understanding about software languages.

Hadoop is considered to be one of the latest demanding technology which is being used by millions of people day-by-day. So learning Hadoop will open lot more opportunities if you want to make this as a full time programmer or a developer. Otherwise there are other ways to earn by doing freelancing.

This Hadoop training will be happen for 45 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in scheduled time of the batch you chose. If you opt of weekdays classes all Monday to Friday you need to spend at-least 90mins.

Other Related Courses:

Hadoop Syllabus

Gangboard's Big data and Hadoop Online Course Syllabus and Materials are prepared by 10+ Years experienced Trainers.

Apache Hadoop

  • Introduction to Big Data & Hadoop Fundamentals
  • Dimensions of Big data
  • Type of Data generation
  • Apache ecosystem & its projects
  • Hadoop distributors
  • HDFS core concepts
  • Modes of Hadoop employment
  • HDFS Flow architecture
  • HDFS MrV1 vs MrV2 architecture
  • Types of Data compression techniques
  • Rack topology
  • HDFS utility commands
  • Min h/w requirements for a cluster & property files changes

Mapreduce Framework

  • Introduction to Mapreduce
  • Mapreduce Design flow
  • Mapreduce Program (Job) execution
  • Types of Inputformats & Outputformats
  • Mapreduce Datatypes
  • Performance tuning of a Mapreduce jobs
  • Counters techniques

Apache Hive

  • Introduction to Hive & features
  • Hive architecture flow
  • Types of hive tables flow
  • DML/DDL commands explanation
  • Partitioning logic
  • Bucketing logic
  • Hive script execution in shell & HUE

Apache Hbase

  • Introduction to Hbase concepts
  • Introdcution to NoSQL/CAP theorem concepts
  • Hbase design/architecture flow
  • Hbase table commands
  • Hive + Hbase integration module/jars deployment
  • Hbase execution in shell/HUE

Apache Pig

  • Introduction to Pig concepts
  • Pig modes of execution/storage concepts
  • Pig program logics explanation
  • Pig basic commands
  • Pig script execution in shell/HUE

Apache Sqoop

  • Introduction to Sqoop concepts
  • Sqoop internal design/architecture
  • Sqoop Import statements concepts
  • Sqoop Export Statements concepts
  • Quest Data connectors flow
  • Incremental updating concepts
  • Creating a database in MySQL for importing to HDFS
  • Sqoop commands execution in shell/HUE

Apache HUE

  • Introduction to Hue design
  • Hue architecture flow/UI interface

Apache Zookeeper

  • Introduction to zookeeper concepts
  • Zookeeper principles & usage in Hadoop framework
  • Basics of Zookeeper

Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Property file parameters logic

Administration concepts

  • Principles of Hadoop administration & its importance
  • Hadoop admin commands explanation
  • Balancer concepts
  • Rolling upgrade mechanism explanation

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
27 Mar 2017 14 Apr 2017 (09:30 PM - 12:00 AM) Mon-Fri
28 Mar 2017 14 Apr 2017 (09:30 AM - 11:30 AM) Tue-Sat
31 Mar 2017 30 Apr 2017 (09:30 PM - 12:00 AM) Fri,Sat
01 Apr 2017 30 Apr 2017 (09:30 AM - 12:00 PM) Sat,Sun
01 Apr 2017 30 Apr 2017 (04:30 AM - 07:00 AM) Sat,Sun
04 Apr 2017 21 Apr 2017 (10:00 AM - 11:30 AM) Tue-Sat
03 Apr 2017 20 Apr 2017 (09:30 PM - 11:30 PM) Mon-Fri
08 Apr 2017 07 May 2017 (10:00 AM - 11:30 AM) Sat,Sun
07 Apr 2017 07 May 2017 (09:30 PM - 12:00 AM) Fri,Sat
11 Apr 2017 28 Apr 2017 (10:00 AM - 11:30 AM) Tue-Sat
10 Apr 2017 27 Apr 2017 (09:30 PM - 11:30 PM) Mon-Fri
15 Apr 2017 14 May 2017 (09:30 AM - 12:00 PM) Sat,Sun
14 Apr 2017 14 May 2017 (10:00 PM - 12:30 AM) Fri,Sat
17 Apr 2017 04 May 2017 (09:30 PM - 11:30 PM) Mon-Fri
18 Apr 2017 05 May 2017 (10:00 AM - 11:30 AM) Tue-Sat
21 Apr 2017 21 May 2017 (09:30 PM - 12:00 AM) Fri,Sat
22 Apr 2017 21 May 2017 (10:00 AM - 12:30 PM) Sat,Sun

Hadoop Certification

At the end of our Hadoop Certification Online Training we will guide you to clear Cloudera Hadoop Certification . And also you will be assigned to work a real-time POC. Once you complete the assigned POC with expected results we (Experts Team from Gangboard) will verify the results executed by you and issue the course completion Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.

Hadoop Training Reviews

FAQ

Detailed installation of required software will be given by our experts itself at the beginning of the course directly. In addition to that, we will support you the Installation process for setting up a Hadoop Standalone Cluster & also will provide the necessary documents for your ease of use.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

A top-notch professional working for a reputed organization also is a subject matter expert in the tableau and has an understanding of other reporting tools with an enriched knowledge of ETL and Data Warehousing world.

No. Hadoop’s internal engine/architecture is framed in a Mapreduce algorithm. So, It is not mandatory to be a developer before learning this Hadoop training. We will guide you appropriately

Basically >4GB RAM will be fine for installing Cloudera CDH distribution in any of your Windows OS Version (both Supported & Compatible)

You can get a demo class to ensure you are in right place. Our faculties strive for the improvement of your career. You can rest assured that we deliver quality industry standard training for our candidates.

We encourage candidates to talk in-person about group training (or) corporate training to discuss the benefits of the same. Please feel free to get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels on our webpage.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

We are providing Hadoop online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

You can reach us through +91-9791273737 / +91-9791237373. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

+91 - 755 008 0081
+91 - 755 008 0082

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GangBoard 5 Star Rating: Recommended 5 out of 5 based on 1325 ratings.