A Fine Slice Of SQL Server
Kevin Chant invites you to a swank lakhouse:
By the end of this post, you will have a good overview of Microsoft Fabric Data Lakehouses, including CI/CD options. In addition, where your SQL Server background can prove to be useful and where some Power BI knowledge can come in handy.
Plus, I share plenty of links in this post. For instance, there are a couple of useful resources to help you get started towards the bottom of this post.
Click through for the article.
Comments closedSandeep Pawar doesn’t have time to refresh everything:
The latest version of Semantic Link (0.4.0) has many methods that provide a convenient abstraction for calling Fabric/Power BI REST APIs. You can see them here. In this blog, I will show how to use the
.refresh_dataset()which uses the Enhanced Refresh API to refresh Power BI semantic models, tables and partitions.
Read on for two ways to do it.
Comments closedTomaz Kastrun gives us the skinny with multiple posts in his Advent of Microsoft Fabric. Day 3 introduces the lakehouse:
Lakehouse is cost-effective and optimised storage, supporting all types of data and file formats, structured and unstructured data, and helps you govern the data, giving you better data governance. With optimised and concurrent reads and writes, it gives outstanding performance by also reducing data movement and minimising redundant copy operations. Furthermore, it gives you a user-friendly multitasking experience in UI with retaining your context, not losing your running operations and working on multiple things, without accidentally stopping others.
Yesterday we looked into lakehouse and learned that Delta tables are the storing format. So, let’s explore what and how we can go around understanding and working with delta tables. But first we must understand delta lake.
We have learned about delta lake and delta tables. But since we have uploaded the file directly, let’s explore, how we can also get the data into lakehouse.
Click through for all three posts.
Comments closedPhil Seamark builds a notebook:
A few blogs back I shared a technique using Power BI Profiler (or VS Code) to run and capture a trace over a refresh of a Power BI semantic model (the object formally known as a dataset).
I’ve since received a lot of positive feedback from people saying how useful it was to visualize each internal step within a problematic Power BI refresh. Naturally, in the age of Fabric, I’m keen to share how the same approach works using a Microsoft Fabric Notebook.
Click through to see how you can do it.
Comments closedTomaz Kastrun continues a series on Microsoft Fabric:
If you have used Power BI services in the past, you will be on board immediately. The outlook is the as it is with the Power BI. You will only need additional credentials to access the services. In general, you will need Azure subscription, Power BI service already enabled, and the ability for your organization to enable Fabric with Admin roles
Click through to see how to enable Microsoft Fabric in your environment.
Comments closedWolfgang Strasser talks legal turkey:
What I even like more is that Microsoft Fabric is now part of the EU Data Boundary Services – i.e. “For EU Data Boundary Services, Microsoft will store and process Customer Data (including any Personal Data contained therein) within the EU Data Boundary as detailed below.”
Read on to see what this means for European customers.
Comments closedSoheil Bakhshi automates report creation:
In Nov 2023, Microsoft announced Microsoft Fabric’s general availability and Public Preview of Copilot in Microsoft Fabric. In a previous post, I explained what Copilot means to Power BI developers, which is valid for other Fabric developers such as data engineers and data scientists as Copilot for Fabric helps with those experiences as well. But the main focus of this blog post is to discuss the requirements, how to enable Copilot, and how to use it from a Power BI development point of view. So, this blog will not discuss other aspects of Copilot in Microsoft Fabric. With that, let’s begin.
I haven’t been particularly impressed with the reports it generates, but I suppose this is like the proverbial bear riding a unicycle: it’s not a question of how well it does the task that makes it interesting, but rather that it does it at all.
Comments closedTomaz Kastrun starts a new series:
Microsoft Fabric is a next-gen platform, that brings all-in-one data and analytics solution for end users, small, medium and large enterprises. Services offer the complete data cycle movement (data ingestion, data engineering, data integration, data storing with warehouse using one lake), delivering data insights and building predictive models.
Read on for the overview and stay tuned for plenty more where that came from.
Comments closedGilbert Quevauvilliers rustles up some data:
In this blog post I am going to show you an easy way to clean your data (which is often fixing data issues or mis-spelt data) using the new feature Launch Data Wranger using DataFrames
I had previously blogged about using Pandas data frames but this required extra steps and details, if you are interested in that blog post you can find it here: Did you know that there is an easy way to shape your data in Fabric Notebooks using Data Wrangler?
In this blog post I am going to show you how I cleaned up the data in my location column.
Read on for a demonstration of what you can do.
Comments closedWhy the excitement on my part? Well to take advantage of all the great features in Tabular Editor, you really need to be able to connect and write via XMLA, be that for doing CI/CD pipelines or by making edits directly on the dataset.
What great new features does Tabular Editor unlock that you can’t just do in the online Power BI modelling experience in Fabric… tons!
Read on to see how Tabular Editor plays with Microsoft Fabric.
Comments closed