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Duration:

500 Hours

Content Provider:

Micro Focus

Mode of Delivery:

Classroom

Course Start Date:

8th July, 2019

Level:

Advanced

The evolution of Big Data is driving the next wave of industrial revolution. It is one of the fastest growing fields of this decade. In 2020, the world will generate 50x more data than we generated in 2011.

The program prepares students with a comprehensive set of skills with most commonly used Tools and Technologies, thus making them industry ready. It is a step forward in building an educational experience that empowers our students to thrive in this new world. 

As part of our mission to make high quality education accessible for all, we have created this program in Big Data. Through it, our goal is to bring your insight from our network of industry experts to demystify better careers.


On Request


Enquire Now

Key Topics Covered


    Foundation Module:

    • Programming Fundamentals & Agile Methodology Using RAPTOR
    • Java Programming for Big Data
    • Python Programming for Big Data
    • SQL Programming for Analytics
    • Linux Fundamentals

    Advanced Module:

    • Introduction to Big Data
    • HPE IDOL
    • HPE IDOL Administration
    • HPE IDOL Configuration
    • Social Media Connector Configuration
    • Hadoop Big Data
    • Hadoop Architecture
    • MapReduce
    • Spark - Data Processing, Graph, Streaming and Machine Learning
    • Hive

Feature of the program


  • UNIVERSITY Certification along with Alumni Status - National / International
  • Pre Read Online Self-Paced content - Technical
  • Access to Career Building Soft Skill Self-Paced online Content 
  • Instructors (Faculty) from Industry
  • 3-5 Industry Projects certified by companies

Well Crafted Workshops and Guest Lectures Delivered from Industry Experts

Support to Participate in Hackathons and Hiring Challenges

Support to Publish Journals and Research Papers

24*7 LMS Support System

Placement Assistance

Who can take this program


Whether you want to acquire the right skill-set to start, grow in your current role or transition into a new role, this program is just right for you.

  • Working Professionals
  • Entrepreneurs
  • Graduates

Eligibility


  • Bachelor's Degree with a minimum of 50% aggregate marks in graduation or equivalent (e.g. B.E/B. Tech/B. Sc/BCA)
  • Preferably with - Computer Science / Electronics / Telecommunications / Electrical / Instrumentation background with adequate preparation in Mathematics, Statistics and Computer Programming.

Curriculum


1. Foundation Module
    • Programming Fundamentals & Agile Methodology Using RAPTOR
    • Java Programming For Big Data 
    • Python Programming For Big Data
    • SQL Programming For Analytics
    • Linux Fundamentals 
2. Big Data Architecture & Processing
    • Introduction to Big Data
    • Introduction to HPE IDOL
    • HPE IDOL Administration
    • HPE IDOL Configuration
    • Exploring Connectors
    • Social Media Connector Configuration
    • HPE IDOL Media Servers
    • Retrieval using IDOL Find, end user search Interface 
    • Action Commands
    • Parametric Search
    • Introduction to Hadoop Big Data
    • Hadoop Architecture
    • Introduction to MapReduce
    • Advanced HDFS and MapReduce
    • Ecosystem and Its Components
    • Basic Hadoop Administration, Troubleshooting and Security
    • Configuring & Integrating Hadoop using IDOL Connector
3. Advanced Concepts & Applications in Big Data
    • Introduction to Spark
    • Data Processing with Spark and Hive
    • Spark Graph
    • Spark Streaming
    • Spark Machine Learning

Industry Projects


Learn through real-life industry projects sponsored by top companies across industries



Tools & Applications


Facilitators


Dr. Bharatheesh Jaysimha

Chief Technology Officer (CTO), ABIBA Systems

Mr. Ram Ganesan

CEO & Founder, Choice.AI

Mr. Amit Singh

Director of Engineering - Artificial Intelligence & Big Data, Cognizant Technology Solutions

Dr. Sumant Kulkarni

Senior Research Scientist, Zensar Technologies

Mr. Yogesh Kumar

Data Scientist, Cisco

Mr. Abhishek Anand

Lead Data Engineer, Currencies Direct, London, UK.

FAQs


Why should I join this program?
The program is interactive and engaging, designed specifically to master Big Data skills and accelerate entry into Big Data career.
How is this course structured?
The course will be delivered through weekend classroom sessions and expect to carry out several industry-relevant scenarios and projects.
What is the mode of assessment?
Assessment will be conducted via practicals and written examination.
How will this certification help me in my career?
Upon Completion of this program you will acquire the required skills to join an organisation as a Big Data Analyst

Suitable Job Roles


Learning Big Data is perhaps the best career investment you can make right now. According to LinkedIn, Statistical Analysis & Data Mining was the hottest skills that got recruiters’ attention last year. 

  • Data Engineer
  • Big Data Engineer
  • Machine Learning Scientist
  • Business Analytics Specialist
  • Data Visualization Developer
  • Business Intelligence (BI) Engineer
  • BI Solutions Architect
  • BI Specialist
  • Analytics Manager
  • Machine Learning Engineer
  • Statistician

Testimonials


MR. PRAJWAL M S

This program gave me real time exposure to the industry standards and work flow from faculty who has rich experience in the domain. It also provided hands on experience of the curriculum rather than just teaching. It's one of a kind program for working professionals and a great opportunity for people looking forward to a domain change like me. I'm very thankful for the university to have organized the program in the most effective manner

Data Analyst at Zwayam

Mr. Rahul Radha Krishnan

“The PGDIT course at Jain University has provided me with an insight into the emerging trends prevalent in the industry. This course has helped me to move a step closer towards achieving a career in BIG DATA.”

BASE - Faculty Physics PU Plus Department

Ms.Kavyasree

Pursing PG Diploma in Big Data “A lot of the subject matter relates directly to my area of work, so it is helping me to understand it a lot more. I feel that over the duration of the course I gained a lot of knowledge and practical strategies that will be beneficial to me”

Student

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