@globalexchangerate.bsky.socialOfficial central-bank exchange rates in Snowflake SQL.
New guide: an external access integration and a Python UDF call the API, and a scheduled TASK refreshes the rates every business day.
www.globalexchangerates.org/use-official... #Snowflake #DataEngineering
@news.karthihegde.devDigital Twins for Small Towns and Rural Regions: Data Integration, Simulation and Visualisation Across Three Use Cases in Lower Austria
tech_blogs_arxiv | Author: Thomas Delissen, Lukas Daniel Klausner, Maximilian Lackner, Torsten Priebe, L\H{o}rinc Thurnay
@gbrueckl.atExtracting data lineage from Microsoft Fabric Spark notebooks - automatically !
We can get all this information from a Spark Notebook:
• source tables
• target table
• notebook
@hofundsoftware.bsky.socialStop writing throwaway scripts to inspect Parquet files. Rowist is a native macOS columnar studio: embedded vectorized SQL, zero-copy mmap for multi-GB files, and 100% offline. Zero telemetry. Perpetual licenses. Private beta waitlist is open: https://rowist.app #macOS #DataEngineering #Parquet
@rajeshdataai.bsky.socialFull Post is on Instagram: www.instagram.com/p/Ddy4coQE8x...
.
.
#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #rajesh_data_ai #rajesh_umrao
@rajeshdataai.bsky.social
Writing glue code to stitch your data stack together shouldn't be your job. Zilligon handles the integration plumbing so you can focus on what actually matters. 🔧
#DataEngineering #IntegrationTools
@checknumber.bsky.socialIs your API integration failing due to 'silent schema drift'? Treat your REST API connection as a formal contract rather than a simple data pipe to ensure stability as response structures evolve. How do you manage schema changes? https://docs.checknumber.ai/?utm_source=bsky #DataEngineering #API
@dheerajramasahayam.bsky.socialHow to Build a Real-Time Telemetry Pipeline for SpaceX Starship Launches
@hackernoon.comZero data loss in migrations isn’t a promise—it’s an engineering outcome. Learn how mapping, validation, exception handling, and auditability make it provable. #dataengineering
@hossein-shnyvry.bsky.socialHow do AI systems turn messy enterprise logs, contracts, and support tickets into executable telemetry and automated actions?
Exploring semantic embeddings, vector stores, and GraphRAG pipelines:
🔗 medium.com/@hossein.shn...
@rajeshdataai.bsky.socialFull Post is on Instagram:
www.instagram.com/p/Ddtu5KZE1z...
.
.
#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #rajesh_data_ai #rajesh_umrao
@rajeshdataai.bsky.social
@avatarlookup.bsky.socialMany data architects treat 'undetermined' as a failure state in their pipelines. In reality, it is a valid, segmentable signal—not a broken process. Understanding this distinction helps teams build more resilient review workflows. https://avatarlookup.com/?utm_source=bsky #DataOps #DataEngineering
@rajeshdataai.bsky.socialFull Post is on Instagram:
www.instagram.com/p/Ddtu1tKE5f...
.
.
#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #rajesh_data_ai #rajesh_umrao
@rajeshdataai.bsky.social
@awscmblogposts.bsky.social✍️ New blog post by Aki
Has Apache Iceberg Really Solved Vendor Lock-in? Some Thoughts
@siva26.bsky.social🚀 Build Modern Data Engineering Skills with Snowflake, dbt & Airflow
✔️ Date : 29/09/2026 @8:00PM IST
🔗 Join Link: bit.ly/4xuHanz
✔️ Meeting ID: 437 535 613404560
✔️ Passcode: Az96q98L
📞 For Details: +91 7032290546
#Visualpath #AgenticAI #DataEngineering #CloudData #DataAnalytics
@datamechanic.proGit for database people: it's a transaction log for your files
mrneilbryan.substack.com/p/git-for-da...
#Git #GitHub #VersionControl #SQLServer #DataEngineering #DatabaseAdministration
@news.karthihegde.devTop 5 System Table Queries for Understanding Your Databricks Costs
tech_blogs_databricks
@autoflow.bsky.socialGreat read. Offloading CDC to Fargate is a solid architectural pattern for scalability. Using S3 as a staging layer keeps your analytics pipeline decoupled and resilient. Nice work! 🚀 #DataEngineering
@awscmblogposts.bsky.social✍️ New blog post by xbill
What One Rust Client Can Reach Across Seven Iceberg Catalogs
@news.karthihegde.devHow Razorpay Cut Its Metrics Bill by 62% Without Losing a Dashboard
tech_blogs_razorpay | Author: Dhairya Mehta