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?
The investment in data, database and the Azure SQL family continues from Microsoft with a host of recent announcements.
Here are some interesting statistics released by Microsoft about Windows Server and SQL Server on Azure. A lot of great reasons to be using Azure.
Here are some interesting statistics released by Microsoft regarding analytics and AI. Another good reason to be using Azure Synapse Analytics.
A look into Azure Integration Services compared to BizTalk Server and Ballard Chalmers' Data Integration Hub - Framework and its use.
As with all areas of Azure we are seeing updates and new features constantly. With Azure Cosmos DB, these are features to make possible swift application development across teams and enhanced enterprise-level security accessible to apps of any magnitude or scope.
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.
Azure SQL Database offers many features to build a comprehensive, secure and stable data platform. Here we explore the range of security features available.