martedì 29 ottobre 2019
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.
mercoledì 24 aprile 2019
Data visualization and consumption tools over Azure Analysis Services (Azure AS) sometimes store data caches to enhance report interactivity for users. The Power BI service, for example, caches dashboard tile data and report data for initial load for Live Connect reports. This post introduces the new governance setting called ClientCacheRefreshPolicy to disable automatic cache refreshes.
giovedì 20 dicembre 2018
Do you want to analyze vast amounts of data, create Power BI dashboards and reports to help you visualize your data, and share insights across your organization?
giovedì 11 ottobre 2018
In a world where self-service and speed of delivery are key priorities in any reporting BI solution, the importance of creating a comprehensive and performant data semantic model layer is sometimes overlooked.
giovedì 12 luglio 2018
As more and more enterprises begin to see value from IoT and digital transformation, many businesses still need help building the necessary digital capabilities. That’s where our partners truly shine.
lunedì 25 giugno 2018
In this blog we’ll discuss the concept of structured streaming and also how to build a data ingestion path directly using Azure Databricks enabling the streaming of data in near-real-time.
martedì 1 maggio 2018
Continuing our series of tutorials on SaaS application patterns with SQL Database, we are delighted to announce an additional cross tenant analytics tutorial.
lunedì 6 marzo 2017
To further our commitment to providing the latest in cloud innovation for government customers we’re excited to announce the general availability of HDInsight and Power BI Pro in Microsoft Cloud for Government.
Corporate Vice President, Mission Engineering, Microsoft Azure
giovedì 16 giugno 2016
Today, we can use resources available in the cloud – virtually unlimited amounts of cheap storage, sophisticated analytics, and machine learning, to name a few – to gain detailed, actionable insights on customer satisfaction.
giovedì 9 giugno 2016
If your current use of data and analytics is filling out dashboards and contemplating workflow changes you are missing a far more impactful opportunity.