The PASS Data Architecture Virtual Group focuses on data architecture concerns as they impact users, developers and DBAs on the Microsoft SQL Server platform.

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Upcoming Meetings

Three Best Practices to Consider for Data Integration onto Azure by Mark Van de Wiel

Wed, Mar 13 2019 18:00 UTC

Three Best Practices to Consider for Data Integration onto Azure

At 76% year-over-year growth as of January 2019 Microsoft’s Azure is not only one of the largest but also one of the fastest growing public cloud platforms. However, like with any technology platform, it isn’t a given that organizations can simply sign up for an account and reap immediate rewards without a careful approach. Organizations interested in leveraging the power of Azure should consider best practices when architecting data integration solutions. In this webinar, HVR CTO, Mark Van de Wiel, will discuss common concerns when it comes to cloud integration: Latency Security Data accuracy Mark will share common reasons for the concerns and discuss how they can be mitigated when adopting Azure. He will end the webinar with a SQL Server to Azure demo to show how HVR addresses these concerns with its technology. Sign up today. We look forward to seeing you there!


Mark Van de Wiel

Mark has well over 15 years of hands-on experience with multiple relational database, data warehouse and data replication technologies including SQL Server. In his current role as technical lead for an independent database replication company HVR Software Mark comes across many SQL Server deployments, on premises and in the Azure Cloud. Mark holds and MsC degree in Business Administration from the Eindhoven University of Technology.

 Call for Speakers and Volunteers

We are looking for presenters for the Data Architecture Virtual Chapter. Whether you have 10 minutes worth to discuss on a specific insight, or a raft of full-length decks ready to roll, we want to hear from you.

Email us at dataarchitecture@pass.org

 

Data Architecture underpins just about everything we do in IT. Without a clear understanding of how data is structured, there is no reliable way to derive meaning from it. Data Architecture drives the design and governance of data systems, and thus should be of interest to any data professional. Data Architecture provides the blue-prints that we all share, whether we be DBAs, data integration developers, database developers, data warehousing professionals, data presentation developers or client-side application developers persisting data for later retrieval.

 

 

 

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