Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
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.
Leaf Agriculture today announced the launch of LeafLake, a new product that brings data analysis to the forefront of Leaf's offering. LeafLake allows Leaf customers to easily perform sophisticated ...
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
TwistedSifter on MSN
Developer accidentally deletes employer’s critical data, but manages to recover quickly, restoring data and avoiding more drama
That was close!
Overview: PostgreSQL ETL tools help manage growing data volumes by automating extraction, transformation, and loading from ...
For decades, the "Master Resume" was the gold standard of job hunting. It was a comprehensive, chronological document—a ...
Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...
Alteryx, Inc., a leading AI-ready data and analytics company, today announced a major expansion of its partnership with Google Cloud to help make BigQuery, Google's autonomous data to AI platform, ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...
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