Azure Data Factory can connect to a lot of sources easily, combine it with the Integration Runtimes and you can reach into almost anywhere. But after setting up connections you have to build a pipeline to describe what data you want to get and where to put it. This could be repetitive and hard to maintain ...unless... you unleash the true power of ADF, its ability to dynamically inject metadata almost anywhere. In this episode of Data Exposed: MVP Edition with Anna Hoffman and André Kamman, we will use the built in Copy Data Tool to get you started on your metadata driven adventure.
About André Kamman:
André is a Data Engineer and architect mostly in Azure. He has done lots of DBA work on 1000’s of servers where he discovered his love for Powershell, architecting SQL Server solutions, building and tuning ETL processes (with BIML), and even implementing PDW.
Having to wrangle a lot of data he's using Python, SparkSQL in Azure Databricks, Data Factory and Power BI as well these days.
André is a Data Platform MPV, Dutch user group Leader, organiser of SQL Saturday Holland and Data & BI track volunteer for Techorama Holland.
About MVPs:
Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more.
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