Top Tweets for #dataengineering
Most dbt projects I've seen have hundreds of models and maybe 20 that anyone actually queries. Delete the rest #DataEngineering
Don't test an ontology on how complete the relationship graph looks. Test it against real business questions. Whether answers are reliable, auditable, & actionable matters more than schema coverage. Utility beats purity. #DataEngineering #OceanBase
Working with #XML and #JSON in SQL Server? Find practical solutions for querying, parsing, indexing, automation, and performance tuning with recipes designed for real-world database challenges. #SQLServer #DatabaseDevelopment #DataEngineering
π https://t.co/AjJHulgP9Z
Manual ontology modeling took 2 weeks for a single cost analysis project. Too slow for scale. AI-assisted extraction cuts repetitive work, but expert review remains non-negotiable for definition accuracy. #LLM #DataEngineering #OceanBase
AI-powered web scraping is evolving fast. I compared @Sequentuminc Cloud vs. String AI across 9 technical areasβfrom anti-bot tools and data quality to scalability and agent orchestration.
Read the comparison π https://t.co/W0ZWnvpZ5q #WebScraping #AI #DataEngineering #Data
Board deck disasters aren't bad luck. ππ They're the output of a Power BI release process with no guardrails.
https://t.co/jHFiMPHLN6
#AIBuzz #PowerBI #DeploymentPipelines #DataGovernance #DataEngineering
π Congratulations, Swapna Nelanti! π
#Congratulations #SwapnaNelanti #DP700 #MicrosoftFabric #MicrosoftCertification #DataEngineering #MicrosoftLearn #TechWithShapingPixel #CareerGrowth #Upskilling #DataAnalytics
Full Post is on Instagram: https://t.co/7BiXyh7MCB
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#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #rajesh_data_ai #rajesh_umrao
@rajesh_data_ai
Especialista Data Engineer Sr. en @coderio_ en Buenos Aires y La Plata (remoto) Y tienen mΓ‘s roles.
Excluyente: AWS (Redshift, Glue, EMR) + PySpark y SQL sΓ³lidos. #DataEngineering π https://t.co/HKEKIjz3Zi
SQL vs Python vs PySpark: 50 essential data operations compared side by side.
From filtering, joins, and aggregations to window functions and data transformations, learn how the same tasks work across three powerful data technologies.
#SQL #Python #PySpark #DataEngineering #DataAnalytics #BigData #DataScience
Google DeepMind, WRI, and IIASA have released the ForTy 2020 dataset and its 2017-2025 time series. Technical analysis of the six-class typology, the satellite embedding pipeline, and documented limits.
#DataEngineering #DataScience
https://t.co/LbsPDjVPMn
SQL interview classic: longest login streak per user.
date - ROW_NUMBER() stays constant inside a run of consecutive days. Group by it and each streak is one row.
Do SELECT DISTINCT first, or two logins on one day will break your streaks.
#SQL #DataEngineering
More sessions like this are lined up for QCon London 2027, April 13-16.
Find out more about QCon London 2027 here: https://t.co/ZsNGcZPHdj
#QConLondon #FeatureStore #DataEngineering
I rechecked Crawlora's SEC guide: the Apple 10-K section request returned HTTP 200 and truncated: true.
Before sending text to an LLM, check truncation and keep the accession + source URL. Success doesn't establish completeness.
#webscraping #dataengineering
Bad data doesn't have to reach your dashboards. Our Databricks expert Vamsi Krishna explains how Lakeflow Spark Declarative Pipeline expectations build data quality checks right into your ETL pipelines.
https://t.co/SESs91MPQm #Databricks #DataEngineering #DataQuality #Simbus
Building an enterprise AI platform: permission-aware #RAG that holds up in production.
#EnterpriseAI #dataengineering
https://t.co/QUTOACse5U
and reproduce your development environment.
Swipe through the post to learn how Docker Compose works, and discover how it can simplify your Data Engineering workflows.
Happy reading!
#Docker #DockerCompose #DataEngineering #CoreDataEngineers #CDEBootcamp3.0
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