explore | Grilled Cheese

BigQuery now supports identity columns for seamless unique ID generation in your data tables. 🚀🔢 #BigQuery #DataEngineering #SQL #TechNews

A data lake ≠ trusted data.
It centralizes storage, but not data quality or governance.

Without validation, metadata, lineage, and ownership, you can end up with a larger place to store unreliable data.

Storage is only the foundation.

#DataEngineering #DataInfrastructure

Do not let your database tier become the weak link in your AI roadmap.

Build a hardened data foundation that scales alongside your long-term infrastructure ambitions.

#AIInfrastructure #DataEngineering #PostgreSQL #EnterpriseIT

🚀 𝗖𝗮𝗻 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 𝗗𝗮𝘁𝗮 𝗖𝗹𝗼𝘂𝗱 𝗛𝗮𝗻𝗱𝗹𝗲 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗶𝗻 𝗥𝗲𝗮𝗹 𝗧𝗶𝗺𝗲?
📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗯𝗹𝗼𝗴: www.linkedin.com/feed/update/...

🎓 𝗟𝗲𝗮𝗿𝗻 𝘄𝗶𝘁𝗵 #Visualpath
🌐 𝗩𝗶𝘀𝗶𝘁: www.visualpath.in/data-cloud-t...

#Salesforce #SalesforceDataCloud #BigData #RealTimeData #DataCloud #Customer360 #DataEngineering #AI

🚀 Build Modern Data Engineering Skills with Snowflake, dbt & Airflow
👉 Trainer Name : Mr. Krishna
✔️ Date : 29/09/2026 @8:00PM IST
🔗 Join Link: bit.ly/4xuHanz
✔️ Meeting ID: 437 535 613404560
✔️ Passcode: Az96q98L
📞 Details: +91 7032290546

#Visualpath #AgenticAI #DataEngineering #CloudData

Your AI infrastructure is only as strong as your data layer.

Sophisticated LLMs fail when database bottlenecks slow down the inference pipeline. Scalable data storage is a non-negotiable requirement.

#AIInfrastructure #PostgreSQL #DataEngineering #TechStrategy

✍️ New blog post by xbill

One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One

#mcp #iceberg #python #dataengineering

Over 250 engineers are registered for OSA CON.

If you're using ClickHouse®, Apache Superset, DuckDB - or you're passionate about open source—you should probably be there too.

Join us in person or online for free: luma.com/eis7567t?utm...

#OSACon #OpenSource #DataEngineering #Analytics #AI

Supporting multiple dataframe backends usually means maintaining multiple codebases. Narwhals solves that with zero dependencies, a stable API, and full static typing. Marco Gorelli explains the design.
Watch the full talk from PyData London: buff.ly/9f9rQEI
#Narwhals #Python #DataEngineering

What can 12 years of longitudinal records tell us?

I explore how a 12-year recovery archive led to CS-NRRM™ — a structural approach to preserving chronology, gaps, context, provenance, and source fidelity across long-term data.

#LongitudinalData #DataEngineering

medium.com/@shinhuni062...