coming soon

Coming Soon

We are in process of building the inventory of good professionals in this category

Got it!

Where do you need ?


Please select a Location.


Submit your enquiry for Engineering Big Data with R and Hadoop Ecosystem

Please enter valid question or comment

Please enter your name.

Please enter valid email

Please enter valid 10 digit Phone Number

Note: Please enter the phone number that you want to receive a call on.

Please enter the Pin Code.

By submitting, you agree to our Terms of use and Privacy Policy

Connect With International School of Engineering

You have reached a limit!

We only allow 20 Tutor contacts under a category. Please send us an email at support@urbanpro.com for contacting more Tutors.

You Already have an UrbanPro Account

Please Login to continue

Please Enter valid Email or Phone Number

Please Enter your Password

Please Enter valid Password or OTP

Forgot Password? Resend OTP OTP Sent

Sorry, we were not able to find a user with that username and password.

We have sent you an OTP to your register email address and registered number. Please enter OTP as Password to continue

Further Information Received

Thank you for providing more information about your requirement. You will hear back soon from the trainer


Engineering Big Data with R and Hadoop Ecosystem

Engineering Big Data with R and Hadoop Ecosystem

Online Instructor led Course

Platform: A-View


No Reviews Yet
2 Interested

About the Course

This course thoroughly trains candidates on the following techniques:

SQL querying (with a focus on statistical analysis)
Hadoop and Map Reduce methods of programming
Designing columnar databases

From a tools perspective, this course introduces you to Hadoop. You will learn one of the most powerful combinations of Big Data, viz., "R and Hadoop".

In addition, all the essential content required to build powerful Big Data processing applications and to acquire respected industry certifications like Cloudera's Apache Hadoop Developer certification will be covered in the course. The emphasis is not on abstract theory or on mindless coding. The emphasis is, instead, placed on learning concepts and real-world programming techniques.

Topics Covered

Introduction to Big Data & Applications
The Hadoop Eco-system
Parallel architectures and concurrent algorithms
Distributed File Systems, GFS & HDFS
HDFS (continued), CDH4 HDFS
Map Reduce
Map Reduce (continued)
Map Reduce (continued), YARN, Hadoop Streaming
Sqoop, Hive
NoSQL databases including HBase
PIG, Oozie
Machine Learning on Hadoop - Mahout
Text Search Application on Hadoop
Other ecosystem components
Text Classification, text clustering
Graph processing & Applications including SSSP
PageRank, BSP, Hama
Pregel, Giraph, Social Network Mining
Certification & Wrap up

Who should attend

Working professionals, managers and recent graduates are eligible for the program. We do not specify any academic background requirements.


Elementary programming skills.

What you need to bring


Key Takeaways

SQL querying (with a focus on statistical analysis)
Hadoop and Map Reduce methods of programming
Designing columnar databases
There are no Reviews yet. Be the First to Review
Questions and Comments

Thousands of experts Tutors, Trainers & other Professionals are available to answer your questions

Comment ?

Questions Guidelines

  • Start your question with simple statements like "what", "when", "where", or "how".
  • Ensure your question or answer is not offensive or insensitive - it may be voted down or banned.
  • Please provide as much detail as possible as this will allow our members to better understand and respond to your question.
  • Take some time to categorize your question. This will greatly help other users find the question.

You can add upto 6 Images


There are no Reviews yet. Be the First to Review

Date and Time

Not decided yet.

About the Trainer

Dr. Sreerama K. Murthy

Ph.D. (Computer Science) - Johns Hopkins University

18 years of work experience after Ph.D.
21 US Patent applications (8 issued), 2 Indian patent applications
Seats Left-

Students Interested 2

Course Id: 14538