den 27 oktober 2020
It’s no secret that organizations consider data as one of their most valuable assets and are investing to build their capability for data-driven decision making. While it is challenging to institute a flexible and cost-effective data estate on-premises, the cloud offers an extensive set of innovative and data-oriented solutions.
den 22 oktober 2020
To further accelerate time to insight in Azure Synapse Analytics, we are introducing the Knowledge center to simplify access to pre-loaded sample data and to streamline the getting started process for data professionals.
den 24 augusti 2020
Azure Synapse Analytics is a new type of analytics platform that enables you to accelerate your time-to-insight with a unified experience and—just as important—save on costs while doing so.
den 19 augusti 2020
Azure Data Share in-place Sharing for Azure Data Explorer, now generally available, enables you to share big data easily and securely between internal departments and with external partners, vendors, or customers for near real-time collaboration.
den 15 juli 2020
To make it easier for customers to modernize their on-premises Spark and big data workloads to the cloud, we’re announcing a new migration offer with Azure Databricks.
den 11 maj 2020
This post is part 2 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
den 11 maj 2020
This post is part 1 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
den 6 maj 2020
This post is part 1 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs and the difference it’s making to them.
den 6 maj 2020
This post is part 2 of a two-part series about out how organizations are using Azure Cosmos DB to meet real world needs and the difference it’s making to them.
den 2 mars 2020
Over the last decade, Microsoft has become one of the largest open source contributors in the world, adding to Hadoop, Linux, Kubernetes, Python, and more.