Azure Data Factory v2 with Data Flows capabilities with Kamil Nowinski

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.

Kamil Nowinski
Blogger, speaker, #sqlfamily member. Microsoft Data Platform MVP. Data passionate, Data engineer and Architect. Over 13 years of programming and experience with SQL Server databases, he worked both as developer and administrator big databases designing systems from the scratch. Passionate about tuning database engines, code transparency and maximising performance database engine. Currently, he is expanding new horizons as a contractor in the UK market, making troubleshooting, prototyping BI and Big Data solutions, enhancing existing processes among Microsoft stuff environments, popularizing the DevOps approach and efficient solutions in the cloud. An originator of the "Ask SQL Family" podcast and founder of SQLPlayer blog.