Pay less using scheduled autoscaling for Azure SQL Database & Azure Analysis Services
AWS is 5 times more expensive than Azure for Windows Server and SQL Server workloads. Comparing SQL Server running as a
Author: Jorg Klein
Jorg Klein specializes in the Microsoft Azure cloud technologies, Big Data & Analytics, Business Intelligence, Data Warehousing and Data Visualization (Power BI). He delivers technical guidance to organizations in their journey to the cloud.
Jorg has always been active in the communities and has been blogging for more than 10 years on his website jorgklein.com. He likes working with the Microsoft product teams and regularly provides them with feedback as Azure advisor. In 2017 and 2018 Jorg received a Microsoft Most Valuable Professional (MVP) award in the Data Platform area. This award is given to exceptional technical community leaders who share their remarkable passion, real-world knowledge, and technical expertise with others through demonstration of exemplary commitment.
Process Azure Analysis Services objects using a Logic App part 2
Many of my blog posts are focused on Azure cost reduction as this is essential to keep in mind when
Process Azure Analysis Services objects from Azure Data Factory v2 using a Logic App
In this blog post I will show how you can orchestrate processing of your Azure Analysis Services objects from Azure
Multi-Source partitioned Azure Analysis Services tables – cold data from Azure Data Lake Store, hot data from Azure SQL Database
Modern data analytics platforms often follow a hub and spoke architecture in which a data hub is used as central
PASS Summit 2017 Day 3
The last day of PASS Summit 2017 was definitely not the least! Yet again we had some great engagement with
PASS Summit 2017 Day 2
Day two of the PASS Summit brought Dave and me a brilliant and powerful keynote about Azure Cosmos DB, high
PASS Summit 2017 Day 1
Day one of the PASS Summit has ended and wow, what a great day! Not only because of the great
PASS Summit 2017 highlights on this blog!
I am attending PASS Summit 2017 in Seattle, and this year I am together with my Macaw colleague Dave Ruijter.
Azure Analysis Services scheduled autoscaling and pausing
One of the major benefits of Azure is scalability, the cloud is built to be elastic, to be as cost-effective
Azure Data Factory and SSIS better together with ADF V2 Preview
Finally, at Ignite Azure Data Factory Version 2 is announced! A giant step forward if you ask me. In this
Jorg Klein's Blog 