In this article, I would like to mention 8 Power BI features that every data architect should know when building analytical systems on a bigger scale including not only reports themselves but also data warehousing solutions like Synapse Analytics. Synapse Analytics itself is integrated with Power BI – for example, you have a unified experience […]
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Pausing and Resuming Synapse Dedicated SQL Pool with Data Factory
Costs are crucial aspects of every cloud project. One of the basic savings options available in Synapse Analytics is pausing and resuming. This activity can be done manually using a graphical user interface but also programmatically. In this article, I would like to show you how to do it via Data Factory/Integrated Pipelines and REST […]
Loading stream data into Synapse with Event Hub and Stream Analytics
Azure contains multiple services that can handle stream data. I can mention just few of them: Stream Analytics Data Explorer Synapse Spark Databricks The above list is not everything that you can use. If you want to have a solution that will minimize maintenance and simplify the entire process you can use PaaS services like […]
Azure Synapse Resultset caching – how it works?
Dedicated SQL Pool in Azure Synapse has a very interesting feature called result set caching. This mechanism is very specific to Synapse and it can significantly increase the performance of a query. In a nutshell, we can say that result set caching when enabled automatically cache query results for repetitive use. Because of this, any […]



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