This specialization provides an advanced, project-driven learning path into Big Data analytics using the Hadoop ecosystem. Learners gain hands-on experience with Hive, Pig, and MapReduce through industry-inspired projects across domains like social media, telecom, healthcare, and e-commerce. Each course builds from data ingestion and transformation to optimization and insight generation, empowering learners to design scalable workflows and analyze massive datasets efficiently. By the end, participants will be equipped to apply Hadoop tools to solve authentic enterprise-level data challenges and showcase their capabilities through portfolio-ready projects.
What you'll learn
working with Hive for data querying
using Pig for data manipulation
applying MapReduce for processing large data sets
designing scalable workflows
generating insights from big data
completing hands-on projects in various domains
Course objectives
to equip students with practical skills in Big Data analytics
to enable students to apply Hadoop tools in enterprise-level challenges
to help students showcase their analytical capabilities through project portfolios