Pay less using scheduled autoscaling for Azure SQL Database & Azure Analysis Services
A guide to using scheduled autoscaling for Azure SQL Database and Azure Analysis Services to reduce cloud costs, with updated open-source scripts.
Jorg Klein is a Microsoft MVP and Azure data expert sharing insights on cloud, big data, and Power BI analytics.
10 articles from this blog
A guide to using scheduled autoscaling for Azure SQL Database and Azure Analysis Services to reduce cloud costs, with updated open-source scripts.
A guide to cost-effectively process Azure Analysis Services models using a Logic App that scales the service up and down automatically.
A technical guide on orchestrating Azure Analysis Services model processing from Azure Data Factory v2 using a Logic App and REST API.
A technical guide on creating multi-source partitioned tables in Azure Analysis Services, combining cold data from Azure Data Lake Store with hot data from Azure SQL Database.
A recap of the final day at PASS Summit 2017, covering sessions on Azure Service Bus, advanced SQL security, and the SQL Vulnerability Assessment.
A recap of Day 2 at PASS Summit 2017, focusing on the Azure Cosmos DB keynote and deep dives into Azure data services.
Highlights from PASS Summit 2017 Day 1 keynote, covering SQL Server 2017, Azure data services, and Microsoft's data platform announcements.
Live coverage and highlights from PASS Summit 2017, focusing on Microsoft Data Platform updates, Azure services, and SQL Server.
Guide to implementing scheduled autoscaling and pausing for Azure Analysis Services using Azure Automation to optimize costs.
Overview of Azure Data Factory V2 Preview's new features, including SSIS package execution, Integration Runtimes, and enhanced orchestration capabilities.