IP Functions are Generally Available, bringing high-performance network analytics to the Lakehouse
tech_blogs_databricks

IP Functions are Generally Available, bringing high-performance network analytics to the Lakehouse
tech_blogs_databricks
S3 Tables now support all Iceberg V3 data types.
Deletion vectors replace positional delete files. Deleting 50k rows from a 2B-row table writes one file instead of thousands. Native variant, nanosecond timestamps, geometry types.
Show HN: Strata – an expressive semantic layer that can say no to your LLM
Discussion | hackernews | Author: ajoski9
Что такое Enrichment-архитектура (архитектура обогащения данных)
Enrichment-архитектура — это не конкретный стек техно…
Подробнее: https://gruzdevv.ru/stati/enrichment-arhitektura-obogashcheniya-dannyh/
#dataengineering #обогащениеданных #архитектураданных #enrichment #конвейерыданных #IT #SaaS
💼 GitLab is hiring a Staff Software Engineer - NLP
Location: 🇮🇳 Bangalore, India
#DataEngineering #DataEngineeringjob #hiring #techjob #jobs #careers
https://datasciencejobs.com/jobs/staff-backend-engineer-gitlab-india-8/
A data lake gives you cheap, scalable storage.
Apache Iceberg gives that storage memory, structure, time travel, schema evolution, and database-like reliability.
The future of the lakehouse is not more files.
It’s smarter metadata.
🚀 Ready to Explore Modern Data Engineering? Join the Free Demo!
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🔹 La actualización de #DBT ha convertido a la herramienta en una muy buena opción para cualquier tarea de procesamiento de datos basada en SQL
📌 Accede a la guía completa de novedades y mejoras de DBT 2.0 en 📷 blog.damavis.com/dbt-2-0-guia...
AI agents are moving from simple chat responses to direct action.
They write code, process files, and execute multi-step workflows. PostgreSQL provides the structured, reliable foundation these autonomous systems need.
Stop polling for results like it's 2015. You can verify up to 100 Telegram registration statuses in a single synchronous HTTP request, keeping your data pipelines clean and efficient. Check the docs for integration details: https://tgvalidator.com/?utm_source=bsky #TelegramAPI #DataEngineering
Your data, your storage, your rules: a 2026 guide to storing Unity Catalog managed tables
tech_blogs_databricks
Data engineering Miami teams need pipelines that hold under production load. We embed senior engineers who ship clean, versioned systems. Learn more: https://codeponents.com/?page_id=8567&ref=2&rid=237 #DataEngineering #MiamiTech #BigData
Silent data drift can undermine AML detection without breaking a pipeline. Here’s how data contracts, validation, lineage, and monitoring can reduce the risk. #dataengineering
Individual systems can all report healthy while the business data is wrong. Here’s how LLM-assisted correlation can shorten incident triage. #dataengineering
Official 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
Digital 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
Extracting data lineage from Microsoft Fabric Spark notebooks - automatically !
We can get all this information from a Spark Notebook:
• source tables
• target table
• notebook
Stop 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