Sandeep PawarProfabric.guru·Nov 15, 2023Identifying Semantic Model Storage Mode in FabricWith the latest addition of Direct Lake as a storage mode in Power BI, the range of available storage modes continues to expand. If you look at the semantic models in the workspace, except for the Push Semantic Model, it's not possible to identify if...Discuss·380 readssemantic-link
Sachin Korgaonkar, PMP, MBA (Finance)thegeekgypsy.hashnode.dev·Oct 10, 2023Microsoft Fabric - Unified Data Analytics Platform - Part 1I recently had the opportunity to work on a project for a unified data analytics platform. Even though I had more experience with Databricks, the customer insisted on using Microsoft Fabric, which was launched in May 2023 and is still in public previ...Discuss·1 likemicrosoftfabric
Ian Santillanievsantillan.hashnode.dev·Oct 3, 2023Analyzing Wildlife Data with Microsoft FabricAnnouncement Announcing an end-to-end workshop on how you can build a powerful data analytics solution using Microsoft Fabric, to handle large-scale and complex data sets. This workshop provides you with a working knowledge on how to: Load data into...Discussfabric
Sandeep PawarProfabric.guru·Sep 20, 2023A Quick Comparison Of Fabric Spark Configuration SettingsI compared the default Spark configurations in the Fabric Spark runtime with those of the standard Spark. I excluded configurations that were identical between the two, as well as those that were irrelevant. I thought sharing this information might b...Discuss·388 readsspark
Sandeep PawarProfabric.guru·Aug 25, 2023Building Insightful Analytical Solutions Using KQLMagicA few months ago, I wrote a blog post about querying a KQL database in Fabric notebooks using the Python Kusto SDK. Although it works perfectly, my friend Alex Powers reminded me that kqlmagic can also be used in notebooks for a more ad hoc experienc...Discuss·330 readsmicrosoftfabric
JTProchatjpt.blog·Aug 21, 2023Part 3: Looping through Multiple Google Scholar Authors in your Fabric data data pipelineIn this article, we will guide you through the process of looping through multiple authors in Google Scholar data ingestion into Fabric. By following these steps, you will be able to efficiently retrieve data for multiple authors and save it in a str...Discuss·10 likes·37 readsA Microsoft Fabric Data Factory exploration using Google Scholar/SERPAPIfabric
JTProchatjpt.blog·Aug 21, 2023Part 2: Spice Up Your Fabric Data Pipeline with Variables and ExpressionsWelcome to our second video in the series! In this video, we'll show you how to spice up your data pipeline by using variables and expressions. By making a few changes to the pipeline we created in the previous video, we can dynamically insert values...Discuss·10 likes·38 readsA Microsoft Fabric Data Factory exploration using Google Scholar/SERPAPIdata
JTProchatjpt.blog·Aug 20, 2023Part 1: Taming Google Scholar Data using Microsoft FabricIntroduction Welcome to our blog post on taming Google Scholar data using Microsoft Fabric Data Pipelines. In this series of videos, we will guide you through a mini project where we leverage data pipelines in Microsoft Fabric to extract and transfor...Discuss·40 readsA Microsoft Fabric Data Factory exploration using Google Scholar/SERPAPIdata
Sandeep PawarProfabric.guru·Aug 13, 2023Recursively Loading Files From Multiple Workspaces And Lakehouses in FabricImagine a scenario in which you are collaborating with two colleagues who have stored sales data in two separate lakehouses, each within a different workspace and under distinct names but same schema. The data is saved in folders containing numerous ...Discuss·2 likes·586 readslakehouse
Sandeep PawarProfabric.guru·Aug 7, 2023Boosting Copy Activity Throughput in FabricIn all of my Fabric related blog posts, I make it abundantly clear that Fabric is (as of the writing of the post), in public preview and the performance/features may change at any time. I want to discuss one such significant performance improvement i...Discuss·1 like·369 readsmicrosoftfabric
