Change data capture (CDC) records insert, update, and delete activity that applies to tables in SQL Server, Azure SQL Managed Instance or Azure SQL Databases. In this Data Exposed episode with Mara-Florina Steiu, we will cover common use cases and scenarios for CDC, discuss key technical implementation details, and try out a CDC demo.     


Advancing Analytics’ Simon Whitely explores the Databricks Change Feed enables CDC, or Change Data Capture, in the spark environment.

Keeping track of changed records can be a hugely inefficient exercise, comparing masses of records to determine which ones have been changed by upstream events. With the delta table change feed, we can keep an efficient track of exactly which records have changed!

In this video, Simon looks at the initial release, looking at how the change feed works under the covers, what happens in the transaction log and how you get started with CDC in your Lake!

As developers, we have the ability to use machine learning to our applications to create very unique experiences and solve difficult problems for our customers.

In this video, Martina and Bruno Capuano sit with Scott to show us how we can use Custom Vision and IoT devices to recognize objects in the real world.

This is a great demo of how to get started with ML without having to train a model, and also how to get our children interested in technology.

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