In this continuation of our Delta Live Tables (DLT) series, we take a deep dive into advanced concepts and real-world applications.
In this video we will cover
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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You can find the DBC and SQL code files, along with the raw datasets, at this link: https://drive.google.com/drive/folders/1CR7csIkF6UF1ir4c74Fea7g2d2xSKut1?usp=sharing
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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
#dlt #dataengineering #deltalivetable #databricks #databricksdlt
0:00 Introduction
1:13 Explaining Dataset
4:17 Development DLT SQL code (Ingestion- Bronze zone)
7:05 Creating DLT pipeline (Configurations)
11:57 output of sales tables
13:03 Attaching DLT pipeline to Notebook
19:19 Verifying the bronze tables
24:35 Silver Zone( with Constraints)
31:55 Implementing SCD type 1 on products bronze using Apply changes API
38:47 Implementing SCD type 2 on customers bronze using Apply changes API
41:27 verifying the SCD implementation
45:00 customers active records
47:00 Materialised views (Gold Zone)
47:23 Total sales and total discount amount for each customer?
54:33 DLT graph
57:00 Update ID (timestamp) and Logs
58:30 Full refresh all
1:00:00 Con of DLT/ disadvantage of DLT