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Big Data Engineering in Collaboration with IBM

  1. 4.5
  2. (535 ratings)
  • 800+ Learners
  • English

Big Data Engineering Collaboration with IBM

  1. 49999
    • 1000+ learner
    • 1000+ learner
    • 1000+ learner
    • 1000+ learner
    800+ Learners
  • 100+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Skill level

What you'll learn

Learn to handle Big Data and derive valuable insights with IBM's Big Data tools. You are going to learn the right way to store, manage, access data and information with technologies like Hadoop and also Spark as applied by the IBM BigInsights products.

Universally Recognized Certificates

From IBM and DataTrained

Capstone and Real Life Projects

Access to 15 real life projects and a capstone project

Analytics Jobs Placement Assistance

Access to analyticsjobs.in curated jobs

Access to in-demand Tools

IBM Watson labs and $1200 equivalent Cloud Credits

Programming Languages and Tools Covered

Learning Path

Exactly how big is great data? What does Apache Hadoop have to accomplish with great data? Within this course you are going to learn the fundamental significant details principles as well as terminology, and just how big data is not simply about the dimensions of data.

Course Content
  • Module 1 - What is Big Data?
  • Module 2 - Big Data - Beyond the Hype
  • Module 3 - The Big Data and Data Science
  • Module 4 - Use Cases
  • Module 5 - Processing Big Data

Apache Hadoop is actually among probably the hottest technologies which pave the ground for analyzing big data. Learn much more about what Hadoop is actually and the components of its, such as HDFS. and MapReduce Come on this voyage to enjoy with big data sets and find out Hadoop's technique of distributed processing.

Course Content
  • Module 1 - Introduction to Hadoop
  • Module 2 - Hadoop Architecture
  • Module 3 - Hadoop Administration
  • Module 4 - Hadoop Components

Writing MapReduce programs to assess Big Data are able to get complicated. In this Accessing Hadoop Data Using Hive program, you are going to get a good foundation on making use of Apache Hive, a tool which could help turn analyze your data a lot easier. You are going to learn the right way to analyze, summarize, as well as assess large data sets kept in Hadoop suitable file systems.

Course Content
  • Module 1 - Introduction to Hive
  • Module 2 - Hive DDL
  • Module 3 - Hive DML
  • Module 4 - Hive Operators and Functions

Ever attempted lighting effects a baseball stadium with a table lamp? While almost all lights turn on as well as off, the trick is actually applying the proper lighting to the circumstances. This course 's written content prescribes how you can take the usual workings of SQL and apply them to BIGSQL, illuminating the information you need.

Course Content
  • Module 1 - Big SQL Overview
  • Module 2 - Big SQL data types

Ignite your interest in Apache Spark with a launch to the core principles which make this fundamental processor an important toolset for dealing with Big Data. Get hands-on experience with Spark within our lab workouts, hosted within the cloud.

Course Content
  • Module 1 - Introduction to Spark - Getting started
  • Module 2 - Resilient Distributed Dataset and DataFrames
  • Module 3 - Spark application programming
  • Module 4 - Introduction to Spark libraries
  • Module 5 - Spark configuration, monitoring and tuning

With enough foundational knowledge of Spark, walk up this chance to enhance your big data skills to the subsequent level. With an emphasis on Spark Resilient Distributed Data Set functions this particular program exposes you to principles that are actually essential to your success in this particular area.

Course Content
  • Module 1 - Introduction to Notebooks
  • Module 2 - Spark RDD Architecture
  • Module 3 - Optimizing Transformations and Actions
  • Module 4 - Caching and Serialization
  • Module 5 - Develop and Testing

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, IBM and Expert Industry Professionals.

                        Hours of Content--- best institute for data science lucknow

Hours of Content

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Live Sessions

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Tools and Software

Download Curriculum cum Brochure

6 Months Program in Big Data Engineering in collaboration with IBM

Get eligible for 3 world-class certifications thus adding that extra edge to your resume.

  • Alumni Status
  • Learning paths and certification from IBM
  • Course completion certificate from DataTrained Education
  • Project completion certificate from DataTrained Education


Join DataTrained – IBM- certified curriculum and learn every skill from the industry’s best thought leaders.

Glen R.J. Mules - Senior Instructor, IBM
Glen R.J. Mules
Senior Instructor, IBM

Glen R.J. Mules worked at IBM, and previously at Informix Software, as an instructor, a course developer, and in the enablement of instructors worldwide. He teaches courses in Big Data (BigInsights and Streams), Optim, Guardium, and DB2, and Informix databases.

Dr. Deepika Sharma - Training Head, DataTrained
Dr. Deepika Sharma
Training Head, DataTrained

Research Scientist with a PhD in computer science and 10+ years of hands-on experience.

Asma Desai - Developer, IBM
Asma Desai
Developer, IBM

Asma Desai just recently started with IBM. She has developed course content for introductory Java and graph theory. Prior to course development, she worked as a consultant using Big Data to fight fraud.

Aaron Ritchie - Information Management, IBM
Aaron Ritchie
Information Management, IBM

Aaron Ritchie has worked in the Information Management division of IBM for over 8 years and has held a variety of roles within the Center of Excellence and Education groups. Aaron has worked as an IT Specialist, Learning Developer, and Project Manager.

Daniel Tran - Technical Curriculum Developer, IBM
Daniel Tran
Technical Curriculum Developer, IBM

Daniel Tran is an IBM Co-op Student working as a Technical Curriculum Developer in Toronto, Ontario. He develops courses to improve the education of customers who seek knowledge in the Big Data field.

Admission Process

There are 3 simple steps in the Admission Process which is detailed below

Step 1: Fill in a Query Form

Fill up the Query Form and one of our counselor will call you & understand your eligibility.

Step 2: Get Shortlisted & Receive a Call

Our Admissions Committee will review your profile. Upon qualifying, an Email will be sent to you confirming your admission to the Program.

Step 3: Block your Seat & Begin the Prep Course

Block your seat with a payment of INR 10,000 to enroll into the program. Begin with your Prep course and start your Big data journey!

Program Fee

₹ 49999 + 18% GST

No Cost EMI options are also available. *

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What's Included in the Price

Industry recognized certificate from IBM

Access to real-life 40 industry projects

3 Months online Internship part of the core curriculum

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