Big Data Analytics with Hadoop and Spark

About Course

In today’s data-driven world, businesses and organizations generate massive amounts of data that require efficient storage, processing, and analysis. This course provides a hands-on introduction to Big Data Analytics using Hadoop and Spark, two of the most popular frameworks for processing large datasets.

You will learn how to set up a Hadoop ecosystem, process data using MapReduce, and leverage the power of Apache Spark for real-time analytics. By the end of the course, you will have the skills to analyze large-scale data efficiently and apply these techniques in real-world projects.

✅ Understand the fundamentals of Big Data and its challenges
✅ Set up and configure Hadoop and Spark environments
✅ Work with HDFS (Hadoop Distributed File System) for data storage
✅ Implement MapReduce for batch processing
✅ Master Apache Spark for real-time analytics
✅ Use Spark SQL for structured data processing
✅ Perform data transformations and machine learning with Spark MLlib
✅ Optimize and fine-tune Big Data applications for performance

Course Content

Introduction to Big Data & Analytics

Hadoop Ecosystem & HDFS

MapReduce & Data Processing

Apache Spark Fundamentals

Working with Spark RDDs (Resilient Distributed Datasets)

Spark SQL & DataFrames

Real-Time Data Processing with Spark Streaming

Machine Learning with MLlib

Performance Optimization & Deployment

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