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Deneb Example - Nested Facets
Deneb Example - Nested Facets
Deneb/Vega-Lite can use nested facets to easily compare multiple categories of data. Whereas the small multiples available in native Power BI visuals concatenate charts in a filled grid, nested facets in Deneb/Vega-Lite use a true matrix approach and permits a “ragged-right” rendering which can ease visualization and comparison. (NOTE: I didn’t quickly find a way to implement a “ragged-right” rendering with native Power BI visuals; I’d be happy to be proven wrong.) The example presented herein...
·forum.enterprisedna.co·
Deneb Example - Nested Facets
Smart Data Pipeline Design: Check for Delta Table Changes with Minimal Overhead
Smart Data Pipeline Design: Check for Delta Table Changes with Minimal Overhead
Scenario I have a notebook that processes hot data every 5 minutes. Meanwhile, another pipeline processes historical data, and I want to create a summary table that uses the hot data incrementally …
·datamonkeysite.com·
Smart Data Pipeline Design: Check for Delta Table Changes with Minimal Overhead
Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Guidance to Maximizing Productivity and Efficiency for your Data Engineering Workloads Data engineering teams often grapple with the complexities of planning and configuring compute resources for their data platforms. This is especially true when working with large-scale, complex datasets and demanding downstream SLAs. A one-size-fits-all approach is rarely effective, as different data layers and datasets … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/optimizing-spark-compute-for-medallion-architectures-in-microsoft-fabric/" class="more-link">Continue reading<span class="screen-reader-text"> “Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric”</span></a>
·blog.fabric.microsoft.com·
Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
How to overcome the Identity column limitation in Microsoft Fabric - Data Mozart
How to overcome the Identity column limitation in Microsoft Fabric - Data Mozart
Identity column feature is an excellent example of the "missing puzzle" in Microsoft Fabric. Hence, we still have to rely on some workarounds and "hacks" to get the job done. This article helps you choose the solution that will play to your strengths
·data-mozart.com·
How to overcome the Identity column limitation in Microsoft Fabric - Data Mozart
Everything is still BI
Everything is still BI
Episode 329
The biggest lesson, though, is that it's actually very easy to think different, but it’s very hard to stay different
We'd never make it without building an in-memory database. We were a BI tool, he said, and BI tools need fast, in-memory compute engines
·benn.substack.com·
Everything is still BI
OpenAI Unveils GPT-4o: Multimodal AI Revolution
OpenAI Unveils GPT-4o: Multimodal AI Revolution
OpenAI has launched GPT-4o, a new AI model that integrates multimodal reasoning across text, audio, and visual inputs. This model is available for free to all ChatGPT users and boasts improved vision capabilities and real-time translation capabilities. The announcement was made via a livestream, showcasing the model's ability to translate languages in real-time. GPT-4o is also noted for being faster, more affordable, and capable of higher rate limits compared to its predecessor, GPT-4 Turbo. The model is currently available for text and vision inputs, with audio and video capabilities expected to be added soon. This development has sparked a range of reactions, from excitement about the advancements in AI technology to concerns about the ethical implications of such rapid progress.
tommypuglia·twitter.com·
OpenAI Unveils GPT-4o: Multimodal AI Revolution
Introducing Job Queueing for Notebook in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Introducing Job Queueing for Notebook in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Users orchestrate their data engineering or data science processes using notebooks and in most of the enterprise scenarios pipelines and job schedulers are used as a primary option to schedule and trigger these Spark jobs. We are thrilled to announce a new feature Job Queueing for Notebook Jobs in Microsoft Fabric. This feature aims to … Continue reading “Introducing Job Queueing for Notebook in Microsoft Fabric”
tommypuglia·blog.fabric.microsoft.com·
Introducing Job Queueing for Notebook in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Fabric is a team sport — DATA GOBLINS
Fabric is a team sport — DATA GOBLINS
In this article, I share some unfiltered thoughts about why it’s unrealistic to expect one person to know everything in Fabric, and concerns I have about unrealistic expectations being put in the market regarding Fabric.
tommypuglia·data-goblins.com·
Fabric is a team sport — DATA GOBLINS