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LLMs Are Getting Better at SQL
LLMs Are Getting Better at SQL
For no particular reason, I recently opened a Power BI report with two fact tables, exported the model definition to TMDL, saved it as a file, and loaded it into several state-of-the-art LLMs, incl…
·datamonkeysite.com·
LLMs Are Getting Better at SQL
Introducing fabric-cicd Deployment Tool | Microsoft Fabric Blog | Microsoft Fabric
Introducing fabric-cicd Deployment Tool | Microsoft Fabric Blog | Microsoft Fabric
We’re excited to announce the preview of the Fabric CI/CD Python library! Recognizing the importance of CI/CD in our success, we decided to open source our project to share with the community. As part of the Azure Data Insights & Analytics team, an internal data engineering group focused on supporting product analytics for Azure Data, we’ve been using Fabric as the backbone of our platform for the last two years. Our team is committed to maintaining and evolving this library, and we look forward to collaborating with the community to enhance its capabilities!
·blog.fabric.microsoft.com·
Introducing fabric-cicd Deployment Tool | Microsoft Fabric Blog | Microsoft Fabric
Streamline Data Engineering & Data Science with Copilot in Fabric | Microsoft Fabric Blog | Microsoft Fabric
Streamline Data Engineering & Data Science with Copilot in Fabric | Microsoft Fabric Blog | Microsoft Fabric
In today’s data-driven world, it’s important to be able to read & understand your data to enable you to gain insights on which patterns/trends you want to monitor. After a data driven decision is taken, you can understand which visualizations you want to build and which machine learning models you want to train to give … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/streamline-data-engineering-data-science-with-copilot-in-microsoft-fabric/" class="more-link">Continue reading<span class="screen-reader-text"> “Streamline Data Engineering & Data Science with Copilot in Fabric”</span></a>
·blog.fabric.microsoft.com·
Streamline Data Engineering & Data Science with Copilot in Fabric | Microsoft Fabric Blog | Microsoft Fabric
Enhancing SQL database in Fabric: share your feedback and shape the future | Microsoft Fabric Blog | Microsoft Fabric
Enhancing SQL database in Fabric: share your feedback and shape the future | Microsoft Fabric Blog | Microsoft Fabric
SQL database in Fabric is currently in preview, and we are actively rolling out improvements as we progress towards general availability (GA). Your insights play a crucial role in this journey. Whether it’s challenges you’ve encountered, features you adore, or any suggestions for enhancement, we want to hear it all—the good, the bad, and the … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/enhancing-sql-database-in-fabric-share-your-feedback-and-shape-the-future/" class="more-link">Continue reading<span class="screen-reader-text"> “Enhancing SQL database in Fabric: share your feedback and shape the future”</span></a>
·blog.fabric.microsoft.com·
Enhancing SQL database in Fabric: share your feedback and shape the future | Microsoft Fabric Blog | Microsoft Fabric
Admin API updates and upcoming definition changes  | Microsoft Fabric Blog | Microsoft Fabric
Admin API updates and upcoming definition changes  | Microsoft Fabric Blog | Microsoft Fabric
We are pleased to announce the release of several new Admin APIs, which offer tenant administrators advanced tools for managing tenant settings, as well as tenant setting overrides at the capacity, workspace, and domain levels.   These new APIs, along with enhancements to existing APIs, represent our continued commitment to expanding Microsoft Fabric’s administrative capabilities, thereby … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/admin-api-updates-and-upcoming-definition-changes/" class="more-link">Continue reading<span class="screen-reader-text"> “Admin API updates and upcoming definition changes “</span></a>
·blog.fabric.microsoft.com·
Admin API updates and upcoming definition changes  | Microsoft Fabric Blog | Microsoft Fabric
What’s new in OneLake catalog: Data governance and more | Microsoft Fabric Blog | Microsoft Fabric
What’s new in OneLake catalog: Data governance and more | Microsoft Fabric Blog | Microsoft Fabric
OneLake catalog is the central hub for discovering and managing Fabric content. Whether you’re a business analyst searching for the right datasets, a data engineer managing structured and unstructured data, or a BI consumer looking for curated insights, the OneLake catalog seamlessly connects you to the right content. Enhanced exploration in OneLake Catalog OneLake catalog continues to evolve to deliver richer, … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/whats-new-in-onelake-catalog-data-governance-and-more/" class="more-link">Continue reading<span class="screen-reader-text"> “What’s new in OneLake catalog: Data governance and more”</span></a>
·blog.fabric.microsoft.com·
What’s new in OneLake catalog: Data governance and more | Microsoft Fabric Blog | Microsoft Fabric
Announcing the launch of Fabric Catalyst: empowering partners with scalable knowledge and best practices | Microsoft Fabric Blog | Microsoft Fabric
Announcing the launch of Fabric Catalyst: empowering partners with scalable knowledge and best practices | Microsoft Fabric Blog | Microsoft Fabric
Partners, come join the Microsoft Fabric Catalyst program. A collaborative knowledge hub aimed at scaling technical expertise and providing partners with the right resources to drive high-impact solutions in Fabric.
·blog.fabric.microsoft.com·
Announcing the launch of Fabric Catalyst: empowering partners with scalable knowledge and best practices | Microsoft Fabric Blog | Microsoft Fabric
New improvements coming to the AI Skill | Microsoft Fabric Blog | Microsoft Fabric
New improvements coming to the AI Skill | Microsoft Fabric Blog | Microsoft Fabric
Additional Authors: Amir Jafari, Shreyas Radhakrishna, Nellie Gustafsson We’re excited to unveil significant enhancements to the AI Skill in Fabric! These updates make it easier than ever to build a powerful generative AI data agent, helping you to unlock deeper insights and streamline decision-making. With improved flexibility, intelligence, and user-friendliness, the updated AI Skill is … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/new-improvements-coming-to-the-ai-skill/" class="more-link">Continue reading<span class="screen-reader-text"> “New improvements coming to the AI Skill”</span></a>
·blog.fabric.microsoft.com·
New improvements coming to the AI Skill | Microsoft Fabric Blog | Microsoft Fabric
How to Use User-Defined Functions and User-Defined Types in Canvas Apps - Microsoft Dynamics 365 CRM Tips and Tricks
How to Use User-Defined Functions and User-Defined Types in Canvas Apps - Microsoft Dynamics 365 CRM Tips and Tricks
Building Canvas Apps in PowerApps presents a challenge. Microsoft has provided great built-in functions, but what if your App needed something other than the built-in functions? You would have to create workarounds—repeating formulas, juggling nested logic, and spending extra time managing it all. It worked, but it wasn’t ideal. Now, Microsoft is upgrading the process
·inogic.com·
How to Use User-Defined Functions and User-Defined Types in Canvas Apps - Microsoft Dynamics 365 CRM Tips and Tricks
Data Auditing in Power BI - DataChant
Data Auditing in Power BI - DataChant
Consider this use-case: You built a sales dashboard for hundreds of sellers in your organization. The dashboard provides them current statuses and KPIs and links to hundreds useful resources by product including sales collateral and demos. Would it be great if you could analyze the popularity of your products and sales collateral by the amount […]
·datachant.com·
Data Auditing in Power BI - DataChant
Using pie charts is not the end of the world - SQLBI
Using pie charts is not the end of the world - SQLBI
This article is about how rules like “avoid pie charts” can be useful for beginners, but also unhelpful in real-world scenarios with more nuance. Instea
you might also use pie or doughnut charts to highlight important categories to direct attention or tell a narrative. For instance, highlighting that global online sales are higher than regional sales for each other country, combined.
This use of color emphasizes how online sales make up more sales than any individual store, combined. We could show the same thing in a bar chart, but it takes up more space and might be less effective.
The previous example also highlights why “data storytelling” does not easily apply to most Power BI reports. You can craft a data story with your visuals, but ultimately, the user is the storyteller.
It is easy to show a screenshot that looks nice, but it is another thing entirely for the report to remain useful after interaction. We will leave that discussion for another, future article.
Despite the bad reputation of pie charts among data or design professionals, many people often still opt for pie charts in their reports for various reasons, like the following:
Familiarity
Space
The biggest problems with pie and doughnut charts are accuracy and precision. While it is easy to quickly identify the biggest and smallest slices, it becomes more difficult with more than three categories or when slices are similar in size.
Typically, when you have more categories, you focus on the top few and group the rest into “others” in a single slice. In Power BI you can do static grouping and binning, but unfortunately, the dynamic “TopN and others” pattern is typically too complex for the average user to implement or maintain.
If you need a deep guide specifically about color in data visualization, then we recommend this article on Datawrapper by Lisa Muth (which is tool-agnostic).
If the purpose of the chart is to evaluate magnitude and compare categories, then a pie chart is not a good option. You generally opt for pie or doughnut charts and other part-of-whole visuals when your focus is on answering data questions about proportionality.
Note that if you are truly interested in the evolution of proportionality over time, you might also consider a stacked area chart or 100% stacked area chart, too (although stacked bars work with discrete data like yearly trends).
·sqlbi.com·
Using pie charts is not the end of the world - SQLBI
BULK INSERT in Fabric Data Warehouse (Preview) | Microsoft Fabric Blog | Microsoft Fabric
BULK INSERT in Fabric Data Warehouse (Preview) | Microsoft Fabric Blog | Microsoft Fabric
We are excited to announce the preview of the BULK INSERT statement in Fabric Data Warehouse, which allows you to load CSV files from Azure Data Lake Storage and Azure Blob Storage. Refer to the example of the traditional BULK INSERT statement commonly used by SQL Server or Azure SQL users to import files from … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/bulk-insert-statement-in-fabric-datawarehouse/" class="more-link">Continue reading<span class="screen-reader-text"> “BULK INSERT in Fabric Data Warehouse (Preview)”</span></a>
·blog.fabric.microsoft.com·
BULK INSERT in Fabric Data Warehouse (Preview) | Microsoft Fabric Blog | Microsoft Fabric