In this post, let’s take a look at innovations in the Microsoft Intelligent Data Platform from the perspective of the C-suite.
We have put together the top ten innovation-focused features of the Microsoft Intelligent Data Platform to support a data-driven strategy.
A look at how Databricks and the Azure Modern Data Warehouse enable data scientists, from the ease of getting started, security, scalability, easy integration and its enterprise-ready state.
In this blog, we look at moving from static business intelligence to predictive analytics and how to choose the best technology for it.
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?