In this blog, we look at moving from static business intelligence to predictive analytics and how to choose the best technology for it.
In case anyone missed the small announcement in the Azure updates log, Data flows in Azure Data Factory and Azure Synapse now support Reserved Instances.
As the quantity of data increases in organisations, so grows the need for insightful analytics. Every member of the team needs the ability to uncover insights hidden inside their data. Azure Modern Data Warehouse covering Power BI and Azure Synapse Analytics is the Microsoft offering providing everything you need to supercharge your analytics.
In this final part of the blog series, the data has been imported and transformed in Azure Synapse Analytics and now we can work with the data so it can be displayed in Power BI.
In this post, we focus on using SQL in Azure Synapse Analytics and conduct tasks such as creating tables and views, testing the tables, and formatting the data.
In the first post of this Azure Synapse Analytics & Power BI series, we cover data engineering with Power Query using Excel data files.
Businesses experience common obstacles in their journey towards deriving value from their data. Azure Synapse Analytics is a cloud-based, end-to-end solution to help organisations, wherever they are in their data journey. How can Azure Synapse Analytics help solve issues and help business leaders to trailblaze with their data, during these challenging times?
Microsoft has announced a cloud-native execution of HTAP called Azure Synapse Link. A capability which eliminates the obstacles between Azure operational database services and Azure Synapse Analytics.