
Eugene Meidinger
@SQLGene
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Data training for busy people. Power BI Consultant. Pluralsight author. He/Him. Mast: @[email protected] Bsky: @sqlgene.com
Pennsylvania, USA
Joined January 2013
[BLOG] Benchmarking Power BI import speed for local data sources.#PowerBI.
sqlgene.com
TL;DR – The fastest local format for importing data into Power BI is Parquet and then….MS Access? The chart above shows the number of seconds it took to load X million rows of data from a given data...
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Registration for #SQLSaturday Pittsburgh is open! Schedule will be coming out next week. Please spread the word. If you are local and missed the CFS, please let me know.
eventbrite.com
Pittsburgh SQL Satuday
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This week Figuring out #MicrosoftFabric has Angela Henry asking ME questions about Microsoft Fabric and if you should switch. (The answer is, um, maaaaybe?). Link below
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Oh gawd, it's happening. Folks vibe coding a Power BI MCP server that can read performance traces. The perfect red herring machine.
reddit.com
Explore this post and more from the PowerBI community
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TIL Apache Iceberg isn't a data file format (like parquet).
podcastaddict.com
Listen to The Analytics Engineering Podcast - Under the hood of Apache Iceberg (w/ Christian Thiel) by dbt Labs, Inc. on Podcast Addict. Tristan digs deep into the world of Apache Iceberg. There’s a...
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Reverse engineering legacy apps is a clever AI use case.
martinfowler.com
Lost source code? Legacy systems don’t have to stay black boxes—AI can turn them into blueprints
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So what's the preferred way to install an isolated copy of SQL Server CTP these days? I know like a decade ago Docker was a slick way to do it.
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We are extremely lucky to have Stephanie Bruno providing a free Fabric Analyst in a Day on October 17th before our Pittsburgh #SQLSaturday. Register here:.
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Using Enron emails for a realistic email dataset is hilarious.
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RT @haydenfield: NEW: Anthropic will start training its AI models on user data, including new chat transcripts & coding sessions, unless us….
theverge.com
You can choose to opt out.
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I'm going to have write a DAX parser to auto-classify certain errors, aren't I?.
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So I'm pondering what benchmarking I could do to see how different LLM prompting improve DAX query success. Main ideas are disproving the "You are a data analyst expert" nonsense and testing giving it the whole schema. Any other thoughts?.
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