Advanced Delta Live Tables (DLT) Techniques in Databricks Part -2 | DLT SQL code

In this continuation of our Delta Live Tables (DLT) series, we take a deep dive into advanced concepts and real-world applications. Building on the fundamentals covered in Part 1, this episode Implementing Change Data Capture (CDC): Strategies to handle incremental data changes efficiently. Slowly Changing Dimensions (SCD): A detailed guide to managing SCD Type 1 and Type 2 in DLT pipelines. Optimizing DLT Pipelines: Best practices for performance tuning, monitoring, and debugging. Complex Workflows: Combining batch and streaming data, advanced transformations, and orchestration. Real-World Use Cases: Practical examples and insights from the field. Whether you're a data engineer looking to optimize your ETL workflows or a developer exploring DLT's capabilities, this episode equips you with the tools and knowledge to master Delta Live Tables in Databricks. Get ready to take your skills to the next level! 📌 Stay tuned for upcoming parts where we explore advanced use cases and features. 🔔 Subscribe now to never miss an update! ☕ Buy me a coffee: https://buymeacoffee.com/navalyemul Follow me on LinkedIn: https://www.linkedin.com/in/naval-yemul-a5803523/ Delta Live Table link: https://www.youtube.com/playlist?list=PL7S7dD8r4QdUsaAsRmkNCGgVJ2RCWReVs DLT on Databricks - A Beginner's Guide https://youtu.be/CsYeNkshhcY Mastering Databricks Delta Live Tables: End-to-End Implementation (Part 1) https://youtu.be/dludPEu1lIo Databricks Link: https://www.youtube.com/playlist?list=PL7S7dD8r4QdVzOYRzIG2UJdCaCasqBv1F