Big Data Engineering Bootcamp with GCP, and Azure Cloud

Course DescriptionIn today's data-driven world, organizations are dealing with massive amounts of data generated every second. Big Data technologies have become essential for efficiently processing, storing, and analyzing this data to drive business insights. Whether you are a beginner, fresher, or an experienced professional looking to transition into Big Data Engineering, this course is designed to take you from zero to expert level with real-world, end-to-end projects.

This comprehensive Big Data Bootcamp will help you master the most in-demand technologies like Hadoop, Apache Spark, Kafka, Flink, and cloud platforms like AWS, Azure, and GCP. You will learn how to build scalable data pipelines, perform batch and real-time data processing, and work with distributed computing frameworks. We will start from the basics, explaining the fundamental concepts of Big Data and its ecosystem, and gradually move toward advanced topics, ensuring you gain practical experience through hands-on projects.

What You Will Learn. Big Data Foundations - Understand the 3Vs (Volume, Velocity, Variety) and how Big Data technologies solve real-world problems. Data Engineering & Pipelines - Learn how to design ETL workflows, ingest data from multiple sources, transform it, and store it efficiently.

Big Data Processing - Gain expertise in batch processing with Apache Spark and real-time streaming with Kafka and Flink. Cloud-Based Big Data Solutions - Deploy and manage Big Data solutions on Azure, and GCP using servicesEnd-to-End Projects - Work on industry-relevant projects, implementing scalable architectures, data pipelines, and analytics. Performance Optimization - Understand best practices for optimizing Big Data workflows for efficiency and scalability.