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.
Guide to implementing scheduled autoscaling and pausing for Azure Analysis Services using Azure Automation to optimize costs.
