Introduction OneLake can be used as a single data lake for your entire organization, it provides ease of use and helps eliminate data silos. It can also simplify security while ensuring that sensitive data is kept secure. OneLake and Fabric provide several out of the box capabilities to keep data access restricted to only those … Continue reading “Building Common Data Architectures with OneLake in Microsoft Fabric”
Organizations today rely on cloud platforms for storage and analysis of data at scale and need to keep up with the accelerating volume of data while protecting sensitive information. While enterprises in Banking, Healthcare, and similar domains require strict data security standards by default, securing business-critical data is the highest priority for all enterprises. At … Continue reading “Announcing Azure Private Link Support for Microsoft Fabric in Public Preview”
In the era of AI, data has become the cornerstone of analytics platforms. With the ever-increasing volume of data being collected across various applications, data lakes, databases, and data warehouses within an enterprise data estate, the need for secure access to enterprise data sources has become critical. This is particularly important given the growth of … Continue reading “Introducing Managed Private Endpoints for Microsoft Fabric in Public Preview”
During November 2023, we unveiled the public preview of Copilot in Microsoft Fabric. This preview includes Copilot for Power BI, Data Factory and Data Science & Data Engineering. Since then, we have been gradually rolling this feature out and today, we are excited to announce that our Copilot preview is now available to all customers! With the Copilot preview, Microsoft … Continue reading “Copilot in Fabric (preview) is available worldwide “
With the general availability of Microsoft Fabric this past Ignite, there are a lot of questions centered around the functionality of each component but more importantly, what architecture designs and solutions are best for analytics in Fabric. Specifically, how your data estate for analytics data warehousing/reporting will change or differ from existing designs and how to choose the right path moving forward. This article will be focused on helping you understand the differences between the Data Warehouse and Data Lakehouse, Fabric solution designs, warehouse/lakehouse use cases, and to get the best of both Data Warehouse and Data Lakehouse.
