Posts From Kamil Nowinski
Last Week Reading (2019-12-29)
Hello boys & girls! This is the last post in “Last Week Reading” series in this decade. Can you believe that? Have you had a good Christmas time? Have you
Last Week Reading (2019-12-22)
Hello. It’s been a while since the last post of this series appeared. I will do my best to keep this going. So, without unnecessary introductions – let’s move on.
Deployment of Microsoft SQL database with Azure DevOps
Hello, data folks! I have published several articles about databases and their maintenance in SSDT project on the blog. One of the posts explained step by step how to import
ASF 027: Mikael Wedham interview
Introduction Mikael Wedham is the first Microsoft Certified Master on SQL Server 2008 in Sweden. He has worked as a developer and database administrator since 1993 and in ’97, Mikael
Last Week Reading (2019-11-10)
Hello all! An extraordinary week has just passed. Two big conferences took place in the USA, PASS Summit and Ignite, where Microsoft announced plenty of new products or updates. Keynotes
Last Week Reading (2019-11-03)
This week I’m offering you many posts about Cosmos DB, Azure Data Factory and how to design reliable Azure applications. Have a great week also for those of you who
Script and deploy the data for database from SSDT project
This post is a part of the series about SSDT and database project leveraging Visual Studio. We already know that SSDT can cover all objects but only on a database
Last Week Reading (2019-10-27)
Hello and good morning! We have Tuesday morning, which means I experienced a delay in this post. But finally, it is out and have a look at how much stuff
ASF 026: Aaron Bertrand interview
Introduction Aaron Bertrand is a Product Manager at SentryOne, with industry experience dating back to Classic ASP and SQL Server 6.5. In his spare time, he is either playing volleyball,
Last Week Reading (2019-10-20)
Hello folks! 2 weeks passed but eventually, I have some news for you. Press Support for Azure Databricks Instance pool for operationalizing Databricks workloads in Data Factory Public Preview feature
