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.
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Delta Live Table link:

DLT on Databricks - A Beginner's Guide

Mastering Databricks Delta Live Tables: End-to-End Implementation (Part 1)

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[VenkatY-bp]

This is really amazing teaching..Really thanks alot from the bottom of my heart.

[sureshraina]

using of stream() function in creating streaming live table is not understanding for me, could you please give me some details

[jasjyotsingh]

At 14:13 why is the STREAM() not used before the live.customers table

[guddu]

can you please gude that i have to create scd2 table in silver table and my bronze layer already exist i don't need to create bronze and it is delta table. should i create static table in sive for scd or live or materliazed view