The Department of Information Technology, under the School of Computer Science Engineering at SRM Institute of Science and Technology, Ramapuram, successfully organized a focused and highly insightful Guest Lecture on Big Data Essentials, designed to enhance students’ understanding of data-driven decision-making, analytics, and the evolving world of Big Data.
Topic
From Bytes to Brilliance: Big Data Essentials
Date: 23rd August 2025 (Saturday)
Time: 10 AM to 11.30 AM
Venue: Online
This session served as a foundational step for students to engage with the rapidly expanding domain of Big Data, providing key insights into data ecosystems, analytics tools, and the significance of informed data interpretation in today’s tech landscape.
RESOURCE PERSON
Miss. Nivedha Rengaraj
Member Technical, Broadridge Financial Solutions, Bangalore
A seasoned data professional, Miss Nivedha brought the world of Big Data and machine learning to life with real-world use cases, interactive coding demos, and career-focused advice.
SESSION HIGHLIGHTS
Comparison of Hadoop vs Apache Spark – Key differences and when to use each
Programming Paradigms – Hadoop’s Java-based approach vs Spark’s support for Python, Scala
Hands-on Introduction to Spark MLlib – Using machine learning for data predictions
Real-world Case Study: How shopping history was used to predict pregnancy – a powerful example of data inference and privacy implications
Live Code Walkthrough:
– Explained a sample machine learning pipeline using Spark ML
– Demonstrated spark-submit with a script: linear_regression.py
– Predicted outcomes based on structured data inputs
Q&A Session: Addressed student queries regarding career paths, placements, and skills needed in the Big Data job market
INSIGHTS SHARED BY THE SPEAKER
Big Data is more than just large datasets—it’s about extracting value from complexity
Spark is preferred in many industries for its speed and flexibility, especially in real-time processing
Learning tools like Spark MLlib and Python gives students a head start in analytics careers
Ethical handling of user data is crucial – examples like predictive advertising show how powerful (and sensitive) data can be
Career tip: Building strong coding and domain knowledge is key to success in data roles
Students gained clarity on real-world applications of Big Data and machine learning, and how to align their skills with current industry demands.
Convener
Dr. Rajeswari Mukesh – Professor & Head, Department of IT
Faculty Coordinators
Dr. R. Mythili, Assistant Professor(S.G), IT
Dr. M. Latha, Associate Professor, IT
Dr. B. Sathya Bama, Assistant Professor, IT
With this session, the Department of Information Technology continues to demonstrate its commitment to building well-rounded, future-ready professionals with strong foundations in both Big Data Technology and Visualisation.
Stay tuned for more hands-on, industry-relevant sessions from the IT Department!
