Announcing Data Soup, the Data Science and Engineering Virtual Summit. 6 expert speakers from around the world.

No travel. Just learning.

Launches Aug 14!

Tickets are normally: $24.97

But I’m offering a 20% Discount for my LinkedIn followers, so you can get in for $19.98! Use code LINKEDIN or click here https://lnkd.in/eKaKEgQ

Sign up now at https://www.datasoupsummit.com/

Since you’ve read this far, here’s a better discount courtesy of Data Driven.

And are souper excited to give Data Driven Listeners a Discount (70% until Aug 5, 2019; 50% afterwards).

Data integration is complex and has many moving parts that spans across hybrid data environments. Typically, data integration projects have dependencies upstream and downstream making dependencies an important aspect to consider in any job scheduling.

Gaurav Malhotra joins Scott Hanselman to show how you can create dependent pipelines in Azure Data Factory by creating dependencies between tumbling window triggers in your pipelines. Using these dependencies assures you that the trigger is only executed after the successful execution of the dependent trigger in your data factory.

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