Local LLMs as constrained data transformers: Duolingo vocab transformed to Anki using Qwen 32B on MacBook M2 Max (45min run). Key insights: larger models sometimes over-help, Qwen 2.5 32B balances quality/instruction adherence. Practical iteration on consumer hardware. #LocalLLaMA #DataTransformation #LLMApplications #AnkiIntegration #Qwen32B

https://www.reddit.com/r/LocalLLaMA/comments/1ptfibf/using_local_llms_as_constrained_data_transformers/

Transpose ,Reverse Rows and Transform Data in Power Query Part 85:
Transpose flips rows into columns and columns into rows, Reverse Rows reorders data from bottom to top, and Transform Data opens Power Query Editor to clean, shape, and modify data before loading into Excel.
#PowerQuery #ExcelTips #DataTransformation #ExcelTutorial #LearnExcel #DataCleaning #ExcelPowerQuery
Secret to no Pivot Tables By Using Power Query Part 84:
The Group By feature in Power Query summarizes data by grouping rows based on one or more columns and applying aggregate functions like sum, count, or average.
#PowerQuery #ExcelTips #GroupBy #DataCleaning #ExcelTutorial #PowerBI #DataTransformation #ExcelHacks
Unlock AI success by solving data foundation challenges. Learn 5 critical strategies for enterprise AI readiness and overcome implementation barriers. Join Hylaine's free webinar on October 15. #AIStrategy #DataTransformation
Group By Option Power Query Part 78:
Group By in Power Query aggregates rows based on one or more columns to summarize data (e.g., sum, count, average).
#PowerQuery #ExcelTips #DataCleaning #GroupBy #ExcelTutorial #DataTransformation #PowerBI #ExcelHacks
Group By Option Power Query Part 77:
Group By in Power Query aggregates rows based on one or more columns to summarize data (e.g., sum, count, average).
#PowerQuery #ExcelTips #DataCleaning #GroupBy #ExcelTutorial #DataTransformation #PowerBI #ExcelHacks

The ETL Market is transforming the way organizations manage data.
β€’ 2024 Market Size: USD 15.8 Billion
β€’ 2032 Forecast: USD 29.2 Billion
β€’ CAGR: 8%

Key players include Talend, SAP, Microsoft, Informatica, AWS, and Oracle.

Discover future opportunities and regional insights.
Click here to read the full report: https://www.credenceresearch.com/report/pediatric-perfusion-systems-market

#ETLMarket #DataAnalytics #BusinessGrowth #MarketTrends #ETL #DataTransformation

πŸ§™β€β™‚οΈ One does not simply build reports on OLTP data…

This week on The Drill Down with Ahmad & James, our special guest
Kristyna Ferris will be presenting a session titled "The Fellowship of the Star Schema: Transforming OLTP Data for Power BI"

πŸ› οΈ This session is packed with:
- Clear distinctions between OLTP & OLAP
- Tips for building Power BI-ready models
- A sprinkle of Slowly Changing Dimension magic

πŸ’‘Whether you’re a data wizard πŸ§™, business hobbit πŸ§β€β™€οΈ, or SQL ranger 🏹 β€” this is your quest.

πŸ—“οΈ Join us LIVE on LinkedIn | Wednesday, July 2nd @ 2PM Central
https://lnkd.in/eWh4SsBb

#TheDrillDown #MicrosoftFabric #PowerBI #DataEngineering #DataTransformation #DataAnalytics #BusinessIntelligence #StarSchema #OLTP #KristynaFerris

πŸš€ Breaking news! By 2025, *finally*, #AI can do what SQL did decades ago, but with more buzzwords! πŸ€“ Welcome to the dazzling world of Relational Graph Transformers, where the future of data is just a tangled web of overhyped promises. 🌐 Let's hope these magical algorithms can transform hype into results faster than their predecessors! πŸ™ƒ
https://kumo.ai/research/relational-graph-transformers/ #Revolution #DataTransformation #FutureTech #OverhypedBuzzwords #HackerNews #ngated
Relational Graph Transformers: A New Frontier in AI for Relational Data - Kumo

Relational Graph Transformers represent the next evolution in Relational Deep Learning, allowing AI systems to seamlessly navigate and learn from data spread across multiple tables. By treating relational databases as the rich, interconnected graphs they inherently are, these models eliminate the need for extensive feature engineering and complex data pipelines that have traditionally slowed AI adoption. In this post, we'll explore how Relational Graph Transformers work, why they're uniquely suited for enterprise data challenges, and how they're already revolutionizing applications from customer analytics and recommendation systems to fraud detection and demand forecasting.

How we helped a regional healthcare network transform fragmented medical data into life-saving insights.

Result: 62% faster diagnosis for critical conditions! πŸ₯

πŸ“Š #HealthTech #DataTransformation