End-to-End Big Data Engineering Project with Azure - Part 1

Learn to build an end-to-end big data engineering project in this comprehensive video tutorial that covers Azure cloud services and data engineering fundamentals. Master essential concepts including Azure Data Factory, Azure Databricks, and ADLS storage while working with real-world datasets like Olist. Starting with project architecture and Azure account setup, progress through data ingestion techniques using SQL databases and MongoDB, implement Medallion Architecture, and create automated workflows. Explore both batch and real-time data processing, parametrized ingestion, and establish seamless connections between Databricks and Azure Data Lake Storage. Gain hands-on experience with resource management, compute configurations, and practical implementation of data engineering principles in a cloud environment. Perfect for professionals with 2+ years of experience looking to enhance their big data engineering skills.