Microsoft Fabric Updates Blog

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Demystifying Data Ingestion in Fabric: Fundamental Components for Ingesting Data into a Fabric Lakehouse using Fabric Data Pipelines

✎ Co-Author – Abhishek Narain Overview Building an effective Lakehouse starts with establishing a robust ingestion layer. Ingestion refers to the process of collecting, importing, and processing raw data from various sources into the data lake. Data ingestion is fundamental to the success of a data lake as it enables the consolidation, exploration, and processing …

Solved Fabric Community posts are now available in the Fabric Help Pane

The Fabric Help Pane provides Fabric users with a fast and efficient way to access self-help content, allowing them to resolve issues independently or direct them to create a support ticket if further help is required. Following its launch last year, we’ve heard your feedback to improve the relevance of our self-help resources. We are …

Public Preview of Native Execution Engine for Apache Spark on Fabric Data Engineering and Data Science

The Native Execution Engine showcases our dedication to innovation and performance, transforming data processing in Microsoft Fabric. We are excited to announce that the Native Execution Engine for Fabric Runtime 1.2 is now available in public preview. The Native Execution Engine leverages technologies such as a columnar format and vectorized processing to boost query execution …

A Data Factory Pipeline Navigator Map to a Successful POC

Authors: Prashant Atri & Prabhjot Kaur Welcome to Version 1 of the ultimate Data Factory Pipeline Mind Map! This one-page view is packed with guidelines to help you navigate Data Factory pipelines on your Data Factory journey to build a successful Data Integration project. Starting from the left-hand side, you will find broad feature areas …