We’re thrilled to unveil a brand new Get Data experience that simplifies the data ingestion process in your KQL database! With simplicity and efficiency in mind, this update streamlines the way you bring data into your KQL database. Whether you’re a seasoned data professional or just starting your data exploration journey, this new user experience … Continue reading “Get Data in Real-Time Analytics: A New and Improved Experience”
In today’s ever-evolving world of data management, security is a paramount concern for organizations. We are committed to providing our customers with robust solutions that empower them to safeguard their data effectively. That’s why we are thrilled to introduce Dynamic Data Masking (DDM) for Fabric Warehouse and SQL Endpoint in Lakehouse! What is Dynamic Data … Continue reading “Announcing: Dynamic Data Masking for Fabric Warehouse and Lakehouse SQL Endpoint”
On July 5th, we announced the ability to clone data warehouse tables within Microsoft Fabric as of current point in time. The ability to clone tables is a powerful technique that not only empowers businesses to streamline reporting and analytics but also helps expedite development and testing processes. While data warehouses constantly evolve, it is often … Continue reading “Time-Travelling through data: The Magic of Table clones”
Today, we are excited to share a list of user experience features that we’ve shipped within Fabric Warehouse during the month of Nov 2023, to help drive productivity and simplify the experience. The following are the list of features: The rest of the blog describes each of these features in greater detail. Clone table experience … Continue reading “Fabric Warehouse user experience updates”
We are excited to announce automatic data compaction for Data Warehouses! One of our goals with the Data Warehouse is automate as much as possible to make it easier and cheaper for you to build and use them. This means you will be spending your time on adding and gaining insights from your data instead … Continue reading “Announcing: Automatic Data Compaction for Fabric Warehouse”
