Big Data Analytics Learn nuances unique to Big Data when solving business problems .
10 Weeks programme
Contact hours: 40 hours
Case studies/ Use cases
enquiry / contact us
The “Big Data Analytics” programme aims to equip participants with cutting-edge skills in the most rapidly growing field in today’s Analytics landscape, viz, Big Data Analytics, and its applications in the industry.
The programme awards participants the proficiency to position themselves successfully exploit the rapidly growing demand for Big Data Analytics specialists in the industry. The programme offers strong conceptual learning, complemented with business case-studies/ use-cases/ examples.
Who should go for the Programme?
The “Big Data Analytics” programme has been designed & developed primarily for traditional IT/ITES professionals who wish to add the high-demand Big Data Analytics skillset to their bouquet of skills.
The programme is of significant value to professionals working as business analysts in the IT/ITES environment, who wish to learn the nuances unique to Big Data. The programme is of equal value to professionals keen to work in the emerging & rapidly growing analytics industry as specialists in Big Data Analytics.
Understand & appreciate the scope of Big Data Analytics in various business domains
Articulate the concepts & applications of Big Data technologies and their environments/ ecosystems
Emerge as skilled Big Data technology professionals
(with strong skills in Hadoop, HDFS, Map Reduce, Hive, Pig, Sqoop, Flume, etc)
Envisage challenges & consideration unique to Big Data when solving Business Analytics problems
Position themselves to add significant value to providers as well as consumers of Big Data Analytics
Introduction to ETL/ ELT & Data Transformation
Introduction to Pig
Pig programming paradigm
Pig data types and Pig commands
User Defined Concepts (UDFs) in Pig
Apache Data Fu & Piggy Bank
Creating, registering and using UDFs in Pig
Caselets using UDFs in Pig
Advanced concepts in Pig
Introduction to Data Warehouse
Introduction to Hive
Data Lakes, Data Reservoirs, and Data Marts
Schema on Read versus Schema on Write
Hive architecture and Hive commands
Caselets using Hive
Advanced concepts in Hive
Introduction to Big Data ingestion
Introduction to Flume
Flume mappings & Flume configurations
Ingesting social media data using Flume
Introduction to Sqoop
Caselets using Flume & Sqoop
The programme “Big Data Analytics” is essentially of a relatively specialized nature, and hence there are certain learning pre-requisites for the programme.
Participants best-suited to derive maximum benefits from the programme are IT/ITES professionals with at least two (2) years of industry experience, with knowledge of computer programming in any language, preferably in either of C/C++, Java, R or Python. In order to enhance the efficiency & effectiveness of participants’ learning, it is desirable that participants possess a BE/ B. Tech., MCA, M. Sc. or MBA degree, with Mathematics as a subject in their graduation.
Big Data Analytics
enquiry / contact us
MEET Our Consultants & Faculty
Ph.D. Scholar (Foreign Direct Investment), IIFT Delhi
MTech (Computer Engg.), IIT Kharagpur
Alumnus of IIM Calcutta & ISI Delhi
25+ yrs of industry exp. across industry verticals
Ph.D. (Statistics), Michigan State University, USA
B. Stats & M. Stats, Indian Statistical Institute, Calcutta
Ex-Chief Scientist & Founder, PlanetRisk Inc, USA; 20 yrs of industry exp. with Morgan Stanley, Barclays Capital, etc.
B. E. (Mech. Engg), NIIT PG Certification on Business Analytics, Machine Learning Cert from Stanford Univ.
LOMA ALMI Certified Professional
15+ years of experience in consulting on Financial Analytics, Credit Risk Analytics, Operations Research, Business Analytics,