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Microsoft Delta Lake And Delta Tables - The Foundation Of Reliable Data

17 Nov 2026   04:30 AM CST

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Webinar Overview
In modern data platforms, ensuring data quality, consistency, and reliability is essential for building scalable data pipelines and analytics solutions. This webinar explores Delta Lake and Delta Tables in Microsoft Fabric, explaining how they provide a reliable foundation for data engineering and lakehouse architecture. Participants will learn how Delta Lake enhances traditional data lakes with capabilities such as ACID transactions, schema enforcement, schema evolution, and time travel. The session will demonstrate how Delta tables work in Microsoft Fabric Lakehouse, how data can be ingested and transformed reliably, and how these capabilities support robust data engineering workflows. Through practical examples using Microsoft Fabric notebooks and Lakehouse tables, attendees will understand how to manage data changes, maintain consistency, handle schema modifications, and build dependable data pipelines.
Key Points

  • What is Delta Lake, and why is it important?
  • Understanding the difference between traditional data lakes and Delta Lake.
  • Introduction to Delta tables in Microsoft Fabric.
Meet The Trainer
Jasleen Kaur
Jasleen Kaur

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Microsoft Delta Lake And Delta Tables - The Foundation Of Reliable Data
Show More

Webinar Summary:

In modern data platforms, ensuring data quality, consistency, and reliability is essential for building scalable data pipelines and analytics solutions. This webinar explores Delta Lake and Delta Tables in Microsoft Fabric, explaining how they provide a reliable foundation for data engineering and lakehouse architecture. Participants will learn how Delta Lake enhances traditional data lakes with capabilities such as ACID transactions, schema enforcement, schema evolution, and time travel. The session will demonstrate how Delta tables work in Microsoft Fabric Lakehouse, how data can be ingested and transformed reliably, and how these capabilities support robust data engineering workflows. Through practical examples using Microsoft Fabric notebooks and Lakehouse tables, attendees will understand how to manage data changes, maintain consistency, handle schema modifications, and build dependable data pipelines.

17 Nov 2026 | 04:30 AM CST   1 Hour

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