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The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.
Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is.
Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency.
Snowflake’s Gen 2 warehouses promise increased performance, while its Adaptive Warehouses will fit to data demands, but enterprises can’t have both at once.
With the free agent-based suite of migration tools, Snowflake says enterprises can move workloads without increasing complexity.
Some of the updates could help enterprises increase the accuracy of AI applications and agents, and increase developer productivity with AI.
Conversational data agents in Microsoft’s big data platform bring enterprise data and insights into AI-powered business processes.
BladeBridge will help enterprises migrate to Databricks’ lakehouse.
At its European Fabric Community Conference last week, Microsoft released a volley of incremental updates to woo enterprises to its data platform.
Apache Iceberg provides an open table format for interoperability across data lakes, showing the importance of a true open standard.
New Mosaic AI capabilities, all in preview, will help enterprises building generative AI applications on Databricks’ platform.
These days, organizations implementing data warehouses often consider creating the data warehouse in the cloud rather than on premises. This guide explores the options, including data lakes, that IT can consider in its service choices.
The updates include a new Internal Marketplace and AI-powered Object Descriptions using Copilot.