Data Engineering Zero to Hero: PySpark, AWS, Databricks, Snowflake + Big Data & Hadoop | Part 2

Welcome to Part 2 of our Zero to Hero free course on Data Engineering! This session dives deeper into advanced topics, giving you the skills to tackle real-world data challenges. 📌 Big Data Fundamentals Explore the foundational concepts of Big Data and why it’s critical in today’s data-driven world. 📌 Hadoop Ecosystem Understand how HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and Apache Spark power modern Big Data solutions. 📌 Spark Architecture & PySpark Learn the inner workings of Apache Spark, its distributed computing capabilities, and how to leverage PySpark for scalable data processing. 📌 Cloud Tools & Platforms Gain hands-on experience with: AWS for cloud-based data engineering. Databricks for collaborative data science. Snowflake for advanced data warehousing. 📌 Data Warehouse Schema Design Master star and snowflake schema designs, crucial for optimizing data warehouses and analytics. This comprehensive course builds upon Part 1, equipping you with in-demand skills to excel as a data engineer. 🎥 Watch now to continue your journey in mastering Data Engineering! 🚀