Microsoft Fabric Updates Blog

Data Pipeline Performance Improvements Part 1: How to convert a time interval (dd.hh:mm:ss) into seconds

Series Overview Welcome to this short series where we’ll be discussing the technical methods used to improve Data Pipeline Copy activity performance through parallelization by logically partitioning any source. Often, we see solutions leveraging a single Copy Activity to move large volumes of data. While this works great, you might face a scenario where you … Continue reading “Data Pipeline Performance Improvements Part 1: How to convert a time interval (dd.hh:mm:ss) into seconds”

Connecting to OneLake 

How do I connect to OneLake? Do I need to use new tools or download a new SDK? These are natural questions from any app developer, ISV, or data engineer looking to get started with Microsoft Fabric and OneLake. Luckily, the answers are simpler than you may think. In this blog, we’ll dive into how … Continue reading “Connecting to OneLake “

Stream Real-time Events to Microsoft Fabric with Event Streams from Custom Application

In 2023 //Build, Microsoft has unveiled Microsoft Fabric – an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need. It is an all-in-one analytics product that addresses every data analytics scenario with its core workloads, such as Data Factory, Data Engineering, Data Science, Data Warehousing, Real-Time Analytics, Power … Continue reading “Stream Real-time Events to Microsoft Fabric with Event Streams from Custom Application”

Announcing a new modern data connectivity and discovery experience in Dataflows

We are excited to introduce the new data connectivity and discovery experience in Dataflow, Dataflow Gen2, and Datamart. Today, users spend a lot of time finding the right data, the right connection info and credentials. With the new Get Data experience, we make it easy to browse different Fabric artifacts through the OneLake data hub. … Continue reading “Announcing a new modern data connectivity and discovery experience in Dataflows”