toukokuuta 14, 2025 tekijä Noelle Li 3 403 Näkymät
We’re excited to announce that you can now orchestrate Azure Databricks Jobs from your Microsoft Fabric data pipelines! Databrick Jobs allow you to schedule and orchestrate a task or multiple tasks in a workflow in your Databricks workspace. Since any operation in Databricks can be a task, this means you can now run anything in …
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User Data Functions are now available in preview within data pipeline’s functions activity! This exciting new feature is designed to significantly enhance your data processing capabilities by allowing you to create and manage custom functions tailored to your specific needs. What is a functions activity? The functions activity in data pipelines is a powerful tool …
Imagine a retail company that wants to gain insights into customer sentiment for each of its products. They also want to find their top-selling and least-selling products. Using Microsoft Fabric, they can build a powerful analytical application to transform their raw data into actionable insights. The process starts with ingesting raw data, such as customer reviews and sales figures, and ends with providing refined data through an API for internal use. This helps the company efficiently process customer feedback and make informed decisions to improve their products.
In this blog post, we’ll dive into the architecture of an analytical application powered by Microsoft Fabric, as shown in the image, and provide a step-by-step guide on how to build it.
In today’s data-driven landscape, organizations are constantly seeking ways to streamline their data integration processes, enhance productivity, and democratize access to powerful data engineering capabilities with Copilot for Data Factory. At Microsoft, we’re committed to empowering data engineers and analysts with intelligent tools that reduce complexity and accelerate development. We’re excited to share the latest …
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We’ve made several significant updates to our Fabric Data Factory artifacts stories, including Continuous Integration/Continuous Deployment (CI/CD) and APIs support! These updates are designed to automate the integration, testing, and deployment of code changes, ensuring efficient and reliable development. In Fabric Data Factory, we currently support two key features in collaboration with the Application Lifecycle …
In the fast-evolving data integration landscape, Data Factory continues to enhance the existing connectors to provide high-throughput data ingestion experience with no-code, low-code experience. With a focus on improving connector efficiency and expanding capabilities, recent updates bring significant advancements to a number of connectors. These improvements focus on: Latest innovations 1. Lakehouse connector now supports …
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