Jay von Rosen
Owner and Principal Consultant at JvR Enterprises
Grand Rapids, Michigan, United States
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Jay is a Principal Consultant at JvR Enterprises, and has been a professional software developer since 1990.
From writing JCL on a mainframe to creating Azure Batch applications, he has always been fascinated with learning how the right technology can be used to create the right solutions. His love of learning extends beyond just the technology, as he also enjoys learning about his customers' industries. He has learned more about radio research, supply chain management, and retail forecasting than he ever expected to.
Jay and his wife live in Grand Rapids, MI, and are empty nesters with four grown children and a boxer named Zeke the Dog-Faced Boy.
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Azure Data Factory - Get Your Data in the Cloud
Azure Data Factory is widely used as part of larger data analytics solutions. However, its core competency of moving and transforming data has many useful applications outside of data analytics. You can move your data from a legacy database into a new platform in Azure, compare data stores, and automatically merge data from various sources.
In this demo-focused session, we'll start with a simple but secure method to give ADF access to your internal data and load it into Azure. Moving to a new database platform is an opportunity to re-think your schemas, and may require complex transformations. This can be done with ADF's ability to transform data in data flows. Once the data transformations and loads are complete, ADF can then be used to compare and synchronize the data.
After this session, you will see the value of ADF as a solution for a variety of data integration needs.
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