Big Data Analytics
Processing and analysing large-scale datasets using Hadoop, Spark, and cloud platforms. Topics include MapReduce, distributed storage, streaming analytics, and visualisation at scale.
Instructor: Tushar R. Mahore
Term: AY 2024–25
Location: Pimpri Chinchwad University, Pune
Course Overview
This course covers frameworks and techniques for working with data that exceeds the capacity of traditional tools — from distributed storage and processing to real-time stream analytics.
Topics Covered
- Introduction to Big Data — 5 Vs, ecosystem overview
- Hadoop ecosystem: HDFS, MapReduce, YARN
- Apache Spark: RDDs, DataFrames, Spark SQL
- NoSQL databases: HBase, Cassandra, MongoDB
- Stream processing: Kafka, Spark Streaming
- Cloud platforms: Google BigQuery, AWS EMR, Databricks
- Big Data visualisation and dashboarding
Tools
Hadoop, Spark, Hive, Kafka, BigQuery, Databricks, Power BI
Materials
Course materials will be uploaded here. Contact mahoretushar@gmail.com for resources.