Wee Hyong T.’s Post

#FabConEurope Session - Best ways of ingesting data for Analytics in #MicrosoftFabric This session with Nikki Waghani and Ulrich Christ will explore the optimal use of various tools, including database Mirroring, Copy Job, Copy Pipeline, and #DataflowGen2. https://lnkd.in/dPD55kij

You can now do #DataQuality in #MicrosoftPurview! 😍 In this video, I show you how - BUT make sure to register a Data Product connected to a source and Data Assets first. ✅ AND your Purview service principal needs CONTRIBUTOR access to the workspace where the data asset you want to monitor data quality on lies in Fabric. 🔧 ▶ Check out my YouTube playlist to find out how: https://lnkd.in/dFavxEEN

Unlock the Power of Power Query: Easily organize and combine data from anywhere. Follow our simple steps to get started! Learn more: https://lnkd.in/dbu8vAfK<br><br> #DataMagic #PowerQueryTips #SimpleIntegration #StrategySimple

🚀 New Blog Post Alert! 🚀 I’ve just published a blog post that summarizes my YouTube mini-series on how to get started with #MicrosoftPurview! 🩵💙   🔑 Key Topics: ✅ Upgrading to the new Purview ✅ Scan your Fabric data ✅ Creating Data Products and Governance Domains ✅ Set up Data Quality Monitoring   👉 Check out the blog post: https://lnkd.in/dZPuUAyv 👉 Subscribe to my YouTube Channel: https://lnkd.in/dD6_ufnN Let me know what you think! Have you started using the new Purview? 🙌

Hey Power Platform enthusiasts! ➡️ I just came across a great article on Craig White’s blog about moving Dataverse data between environments. If you're looking to migrate your solutions with Dataverse data, this is a must-read! ✨ https://lnkd.in/eC-tFw6a #powerplatform

Has anyone else noticed that working with Gen2 dataflows can create additional "Personal mode" connections when you manage connections? According to the moderators over on the Fabric Community site, shared connections aren't (fully) supported yet, so I submitted an idea. Check out the discussion and vote for the idea below. #fabric #gen2dataflows #dataflows Discussion: https://lnkd.in/ghVqwuyn Idea: https://lnkd.in/gHn5kvYs

What I want to talk about is this will get you the idea of it but doing your own data sets and manipulation to create projects will help a-lot me for practice.

Microsoft Fabric provides various options for data ingestion, each with its own strengths and use cases. Understanding which option to use and when can significantly impact your data workflow efficiency. In this video, I explore the different data ingestion methods offered by Microsoft Fabric—Dataflow (with and without Fast Copy), Data Pipeline, and Notebooks—and discuss their pros and cons.

Dataflows Gen2 is the new generation of dataflows! They allow us to ingest and transform data using Power Query, just like in Gen 1. However, Gen2 comes with a more streamlined authoring experience and improved performance. Take a look at snapshot information on the difference between Dataflow Gen2 vs Gen1. Here is our blog post in detail - https://lnkd.in/gSDgauRy   Interested to talk to our experts? Contact us here -https://lnkd.in/gN6MHy8t   #microsoftfabric #featuredpartner #ilinkdigital #datapractice