- Introduction
- What is Microsoft Fabric?
- The main components of Microsoft Fabric
- 3 advantages of using Microsoft Fabric
- 3 disadvantages of using Microsoft Fabric
- Should you change?
- Ending
Microsoft Fabric Microsoft advertises it as a Comprehensive platform for data analytics, data engineering and artificial intelligence. It was released in preview in spring 2023 and was made ai-innovation-with-microsoft-fabric-now-generally-available/” rel=”noopener ugc nofollow” target=”_blank”>generally available for purchase in November 2023. The platform is based on features of existing services such as Azure Synapse Analysis, Azure Data Factory, Azure Data Lake Generation 2, Microsoft Competitionand BI Energy.
In this blog post, I want to give you a high-level overview of the Microsoft Fabric platform through 2024.. Specifically, I want to give you answers to the following questions:
- What parts of the data lifecycle does Microsoft Fabric cover?
- What does each component of Microsoft Fabric try to achieve?
- What are the advantages and disadvantages of using Microsoft Fabric?
- Should you consider migrating to Microsoft Fabric?
My experience with Microsoft Fabric is based on a Four-Day Microsoft Deep Course I attended, as well as experimenting with Microsoft Fabric over the past few months. I also have extensive experience with the tools that inspire Microsoft Fabric. I am however not affiliated with Microsoft and you will not gain anything monetarily by overselling or underselling Microsoft Fabric. Based on this, I can offer an unbiased overview of Microsoft Fabric.
As you can see from the rest of the blog post, I think Microsoft Fabric offers some really useful features for a unified data platform. However, like everything else, the choice to migrate to Microsoft Fabric will depend on many factors.