27 октября 2020 г.
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.
22 октября 2020 г.
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.
24 августа 2020 г.
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.
19 августа 2020 г.
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.
15 июля 2020 г.
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.
11 мая 2020 г.
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.
11 мая 2020 г.
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.
6 мая 2020 г.
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.
6 мая 2020 г.
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.
2 марта 2020 г.
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.