7月 1, 2024 作者： Anshul Sharma 3,286 點閱數
In the world of AI & data analytics, vector databases are emerging as a powerful tool for managing complex and high-dimensional data. In this article, we will explore the concept of vector databases, the need for vector databases in data analytics, and how Eventhouse in Microsoft Fabric can power your Real-Time semantic searches. What is a Vector …
Continue reading “Empowering Real-Time Searches: Vector Similarity Search with Eventhouse”
Today I am very excited to announce that Azure service principal has been added as an authentication type for a set of data sources that can be used in Dataset, Dataflow, Dataflow Gen2 and Datamart. Azure service principal is a security identity that is application based and can be assigned permissions to access your data …
Author(s):Amir Jafari, Senior Product Manager in Azure Data.Sheryl Zhao, Principal Applied Scientist in Azure Data.Mark Hamilton, Senior Software Engineer in Azure Data.Nellie Gustafsson, Principal PM Manager in Azure Data. In our previous blog, we showcased the capability of Microsoft Fabric and SynapseML to utilize large language models (LLMs) for efficient question and answer tasks on …
Microsoft Fabric is a cloud-based platform that offers various services and experiences for different analytical scenarios, such as data engineering, data science, real-time analytics, and business intelligence. Microsoft Fabric is built on a foundation of Software as a Service (SaaS), which means that users do not have to worry about the underlying infrastructure or management …
Continue reading “Accessing Microsoft Fabric for developers, startups and enterprises!”
AUTHOR: Guy Reginiano, Program Manager In today’s data-driven landscape, the ability to capture, analyze, and visualize vast amounts of real-time data from diverse sources is crucial for making informed decisions and gaining a competitive edge. Synapse Real-Time Analytics in Microsoft Fabric offers a comprehensive solution to this challenge. Its seamless integration with Data factory in …
I was working on an example for a customer about logging a file error of execution while you are running multiple notebooks in parallel in a try-and-catch scenario. While thinking about that scenario in a Fabric environment I realized this work is now so much easier. As I mentioned before in other posts, OneLake integration …
Continue reading “Fabric changing the game: Logging your workload using Notebooks.”
