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Thursday,

March

12

Populating Data Vault by using Azure Data Factory mapping data flows

Mapping Data Flows feature of Azure Data Factory is generally available since October 2019. There are many different use-case scenarios that can be covered by Data Flows, considering that Data Flows in SQL Integration Service (SSIS) projects are still playing a big role in fulfilling Extracting-Loading-Transforming (ETL) patterns for your data. In this session, the speaker will share his experience of populating a Data Vault repository with the help of Mapping Data Flows in Azure Data Factory.

Featured Presentation:

Populating Data Vault by using Azure Data Factory mapping data flows

Rayis Imayev, Senior Data Engineer OMERS

Mapping Data Flows feature of Azure Data Factory is generally available since October 2019.There are many different use-case scenarios that can be covered by Data Flows, considering that Data Flows in SQL Integration Service (SSIS) projects are still playing a big role in fulfilling Extracting-Loading-Transforming (ETL) patterns for your data. In this session, I will share my experience of populating a Data Vault repository with the help of Mapping Data Flows in Azure Data Factory.

About Rayis:
Database professional with hands-on database design, data analysis, and reporting skills. I believe that I can help to make this intricate world of data to be more structured and well understood. Born in USSR; graduated and started my IT journey in Ukraine; now I work and live with my family in Toronto, Canada.

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