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DataOnWheels

Steve Hughes is a Principal Consultant at Magenic. His area of expertise is in data and business intelligence architecture on the Microsoft SQL Server platform. He was also the data architect for a SaaS company which delivered a transportation management solution for fleets across the United States. Steve has co-authored two books and delivered more than 30 presentations on SQL Server and data architecture over the past six years. He also provides insights from the field on his blog at http://dataonwheels.wordpress.com.

Archives: May 2018

Power BI Data Security – Power BI Report Server

Power BI Report Server was released as a way to host reports on premises. It was one of the highest requested features for Power BI. Power BI Report Server offers a subset of Power BI Service capabilities and as such does not have the rich collaborative or security options as… Read more

1 comments, 364 reads

Posted in DataOnWheels on 31 May 2018

Power BI and Data Security – Audit Logs, Powershell, Power BI and @AngryAnalytics

The following has been reposted with permission from Steve Howard a.k.a. @AngryAnalytics. I have made some formatting changes but the content is unchanged. Thanks again to Steve for allowing me to repost this content. You can find the original post and the rest of Steve’s great work on his blog Read more

0 comments, 279 reads

Posted in DataOnWheels on 24 May 2018

SQL Saturday – Dallas – May 2018

I was able to present at SQL Saturday Dallas this year. Thanks to those of you who were able to attend. As I noted in the meeting you can find details related to Power BI Data Security in the following posts on my site.

Power BI Is Finally in the… Read more

0 comments, 169 reads

Posted in DataOnWheels on 22 May 2018

Cosmos DB for the Data Professional

Cosmos DB is one of the fastest growing Azure services in 2018. As its popularity grows, data professionals are faced with a changing reality in the world of data. Data is no longer contained in relational databases as general rule. We saw the start of this with Hadoop data storage,… Read more

3 comments, 2,682 reads

Posted in DataOnWheels on 16 May 2018