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SkillsCast

Azure Data Factory v2: Data Flows Capabilities

29th January 2019 in London at CodeNode

This SkillsCast was filmed at January 2019 SQL London Event

Microsoft's services in Azure helps us to leverage big data more easily and even more often accessible for non-technical users. Having UI in ADF version 2 - Microsoft added a new feature: Data Flow which resembles components of SSIS. This is a very user-friendly and non-code approach tool-set.

But, has that been only UI introduction? Why and how Databricks does work under the hood?

Do you want to know this new (still in private preview) feature of ADF and reveal the power of modern big data processes without knowledge of such languages like Python or Scala?

We will review this new feature of ADFv2, do deep dive to understand the mentioned techniques, compare them to SSIS and/or T-SQL and learn how modelled data flow runs Scala behind the scenes.

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Thanks to our sponsors

Azure Data Factory v2: Data Flows Capabilities

Kamil Nowinski

Blogger, speaker, #sqlfamily member. Microsoft Data Platform MVP. Data passionate, Data engineer and Architect.

SkillsCast

Microsoft's services in Azure helps us to leverage big data more easily and even more often accessible for non-technical users. Having UI in ADF version 2 - Microsoft added a new feature: Data Flow which resembles components of SSIS. This is a very user-friendly and non-code approach tool-set.

But, has that been only UI introduction? Why and how Databricks does work under the hood?

Do you want to know this new (still in private preview) feature of ADF and reveal the power of modern big data processes without knowledge of such languages like Python or Scala?

We will review this new feature of ADFv2, do deep dive to understand the mentioned techniques, compare them to SSIS and/or T-SQL and learn how modelled data flow runs Scala behind the scenes.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Azure Data Factory v2: Data Flows Capabilities

Kamil Nowinski

Blogger, speaker, #sqlfamily member. Microsoft Data Platform MVP. Data passionate, Data engineer and Architect.