Data Science & Data Engineering blogs
Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.
If you keep up with the latest developments in the data space, you will probably know that Microsoft Fabric has now reached general availability. One of the trickiest things we’ve had to come to terms with is how concurrency works and how to run multiple notebooks at once without errors.
Read MoreWhen it comes to selecting data curation options in Fabric there are an entire haberdashery of options. Let’s explore some of those options, looking at which path might best suit which types of Analytics Engineering personas.
Read MoreIf you keep up with the latest developments in the data space, you will probably know that Microsoft Fabric has now reached general availability. One of the trickiest things we’ve had to come to terms with is how concurrency works and how to run multiple notebooks at once without errors.
Read MoreHow can you tell whether the Copilot preview is available in your Fabric tenant? This blog shows you how.
Read MoreDid you know you can use Tabular Editor with Fabric to build advanced Power BI semantic models? Find out some of the advantages that this approach can give you.
Read MoreLast week was Microsoft’s Ignite conference hosted in Seattle and we were on the edge of our seats for some highly anticipated announcements. Here’s mine and Johnny’s round up of the Fabric announcements.
Read MoreMeet your new favourite action hero, Data Activator. It’s the newest experience to be added to Microsoft’s unified Software-as-a-Service (SaaS) platform Fabric, having been made available in the public preview at the beginning of October. But what is it? What does it do? How can you use it?
Read MoreFabric wouldn’t be an end-to-end data analytics platform without data science, so in this blog we will explore that data science and machine learning capabilities of Microsoft Fabric and assess where the platform fits in the completive data science landscape.
Read MoreShould you care about what you call your artifacts when you create them in a Fabric Workspace? At Advancing Analytics, we say yes! Here we describe a naming convention we’ve adopted to make sure Fabric artifacts can be grouped and organised in a way that makes them quick and easy to identify.
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