Section: Data & Analytics.
Subject: Big Data & Working with Super – Large Data Sets.
Speaker: Madhumitha Rajasekar, Data Engineering, Data Integration.
https://www.linkedin.com/in/madhumitha-rajasekar-37645967
Experienced in Data Management, Architecting & Solutioning for Analytics products with a demonstrated history of working in the pharmaceuticals industry (6+ yrs).
Skilled in Data Modeling, Data Mapping, Oracle Database, Data Warehousing methodologies.
Experienced in Project and People management and involved in a lot of in-house activities to spread the word of ‘Diversity, Equity & Inclusion’.
Strong information technology professional with an Engineer’s Degree focused in Computer Science.
Abstract. This lecture provides a brief overview of the Big Data landscape, including core definitions, ecosystem components, and key challenges. The main focus will be on practical aspects: software tools for data storage, processing, and visualization. Attendees will explore real-world case studies demonstrating how Big Data is being used across industries such as healthcare, finance, marketing, and manufacturing. The session will also highlight current trends in Big Data analytics and future directions for technology development in the field.
You can read the lecture at the link.
https://drive.google.com/file/d/14I_0rxlK-gvsTJ6sRN-bKVlj88ouWxcy/view?usp=sharing
Students’ impressions of the lecture.
https://docs.google.com/presentation/d/1KJczCnZz8ceBryBSzlWvqmUmtloEaDK03nH8kVIWkMU/edit?usp=sharing