Big Data Engineering in
collaboration with IBM

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Industry Experts From

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

₹44,999 ($750)

for self-paced

About the Program

  • Big Data Fundamentals

  • Basics of Hadoop and its components

  • Accessing Hadoop data using Hive

  • SQL access for Hadoop

  • Spark Fundamentals

  • Spark Advanced

Download Syllabus

Prerequisite

A. Basic Linux Operating System knowledge. B. Basic understanding of the Scala, Python, R or Java programming languages.

IBM is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries.  IBM is one of the world's largest employers, with over 350,000 employees, known as "IBMers". At least 70% of IBMers are based outside the United States, and the country with the largest number of IBMers is India. [7]  IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA). This collaboration between IBM and DataTrained provide our student's hands-on experience in predictive analytics and advanced computing.

Expectations for this program co-developed with IBM:
1.    Industry-recognized certificate from IBM and DataTrained.
2.    IBM Cloud Credits for 6 months equivalent to $1200
3.    IBM Cloud Platforms access like IBM Watson for hands-on practice
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.

Big Data is data that is too big to handle with standard techniques. This poses brand new challenges with regards to storing, retrieving, manipulating, and examining Big Data. Beginning with a program on the basic principles of Big Data, you will find out Big Data with IBM's collection of items, and also various other open-source tools. Leveraging these tools and strategies, you will have the ability to deal with Big Data and gain vital insight from it.
A. Basic Linux Operating System knowledge. B. Basic understanding of the Scala, Python, R or Java programming languages.

Programming Languages and Tools Covered

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders

Learning Path

1
Course 1: Big Data Fundamentals

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.

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

Course 2: Basics of Hadoop and its components

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.

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

3
Course 3: Accessing Hadoop data using Hive

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.

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

Course 4: SQL access for Hadoop

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.

Module 1 - Big SQL Overview
Module 2 - Big SQL data types
4

5
Course 5: Spark Fundamentals

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.

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

Course 6: Spark Advanced

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.

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
6

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

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 Data Science journey!

Program Fee

No Cost EMI options are also available. *

What's Included in the Price

Features/Benefits
  • Industry recognized certificate from IBM
  • Access to real-life 40 industry projects
  • 3 Months online Internship part of the core curriculum

I’m interested in this program

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Career Impact

Over 500 Careers Transformed
Average Salary Hike
Highest Salary
Jobs Sourced
Hiring Partners

Frequently Ask Questions

Yes, you will get a certificate from DataTrained and IBM for the course completion as well as a project completion certificate from DataTrained.
There are two types of projects:

A. Practice projects: Your mentor will first do 2-3 projects for you and then you will do the next 3-4 projects wherein you will get help from your mentor and on tickets.

B. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.
A basic Linux Operating System knowledge and basic understanding of the Scala, Python, R or Java programming languages is desirable.
No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.
There are two training modes:

A. Self-paced: You will get access to DataTrained and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects as your own pace. Mentor support will be provided.

B. Blended: You will get access to DataTrained and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects as your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.
In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.
We have partnered with analyticsjobs.in for the placement assistance for our learners who successfully completes our programs. Analytics Jobs is a leading media and job portal company specifically aimed for the jobs in Data Science, Analytics, Automation, RPA, Cloud, Block Chain and computer science.
The program fee is Rs. 44499 for self-paced. For International students, the program fee is $899 plus taxes for self-paced.
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