Times of India | Snowflake announces tools to help businesses adopt agentic AI systems: All details

AI generated summary, Read the full article for complete information.

Snowflake unveiled a suite of new AI‑focused tools at its 2026 summit aimed at enabling enterprises to move from experimentation to fully governed, agentic AI systems. The updates expand its AI coding assistant (CoCo) to platforms such as Slack, VS Code, Claude Code, mobile devices and Excel, and introduce Snowflake Datastream for real‑time Kafka‑based data pipelines. Enhancements to Snowflake CoWork provide context‑aware research, personalisation, and AI‑driven workflows for knowledge workers, while Cortex Training offers managed infrastructure for fine‑tuning foundation models. Governance gains new features through Horizon Catalog—including Horizon Context, Agent Identity, and an upgraded Trust Center—plus Adaptive Compute that auto‑scales resources for AI workloads. Interoperability is boosted with Apache Iceberg v3 support, Snowflake Storage for Iceberg tables, external engine access management, and the Iceberg REST Scan Plan API, delivering a single governed data layer across clouds. Finally, Automatic Data Agents and Agent Sharing let users transform shared datasets into conversational AI agents while maintaining strict governance controls.

Read more: https://timesofindia.indiatimes.com/technology/tech-news/snowflake-announces-tools-to-help-businesses-adopt-agentic-ai-systems-all-details/articleshow/131514012.cms

#Snowflake #Microsoft #ApacheKafka #ApacheIceberg #SnowflakeSummit

DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.

Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data features

Learn more ⇨ https://bit.ly/48PsPIS

#InfoQ #DuckDB #ApacheIceberg #AI #DataLake #DataStorage

Lakehouse architectures allow multiple engines to run on shared data through open table formats like #ApacheIceberg.

But #SQL identifier resolution and catalog naming rules differ across engines - creating hidden interoperability failures.

In this #InfoQ article, Maninder Parmar explains why enforcing consistent naming conventions and cross-engine validation is critical.

📰 Read now: https://bit.ly/4902zeH

#RelationalDatabases #DataLake

IT'S FINALLY COMPLETE! (35% OFF)

Just submitted the last bits to complete my latest book with Manning.

As always, thanks for your support over the years. It really does mean a lot, and it has been quite the ride!

Find this and all my other books at https://books.alexmerced.com

#ApacheIceberg #DataLakehouse #DataEngineering

The Data Lakehouse Explained: Why Apache Iceberg Is Quietly Running the Show

https://techlife.blog/posts/data-lakehouse-iceberg

#ApacheIceberg #DataLakehouse #DataWarehouse #DataLake #Snowflake #ApacheSpark #DataEngineering

#Pinterest launched a next-gen CDC-based ingestion framework.

Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
• Latency cut from 24+ hours to 15 minutes
• Processing of only changed records
• Support for incremental updates & deletions
• Petabyte-scale data across 1,000+ pipelines

Win: optimized cost & efficiency!

Read the architectural deep dive on InfoQ 👉 https://bit.ly/4rMJB2H

#SoftwareArchitecture #ChangeDataCapture

🚀 Big Data meets AI—powered by Iceberg, Spark & LLMs

At #ArcOfAI, Pratik Patel shows how to build a real architecture that lets users query massive datasets with natural language—no dashboards, no SQL, just questions & insights.

https://www.arcofai.com/speaker/1c241471d7f04018a0da70efffd35b32

🎟️ Get tickets: https://arcofai.com

#ArtificialIntelligence #BigData #DataArchitecture #ApacheSpark #ApacheIceberg #LLM #GenAI #EventStreaming #Kafka #Flink #AIEngineering #TechLeadership

So, feeling deflated. I put a lot of effort into #ApacheIceberg material and noticed a .palantir folder in the source which I believe is for build repository tooling. But still felt shock that #Palintir, who runs the data analysis for #ICE and #CBP has some dependencies in this project. It also seems that there were some code contributions from Palantir into Iceberg when used in Netflix. What to do about #Opensource when this happens. Source link below.

https://github.com/apache/iceberg