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 ...
For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...
For decades, the "Master Resume" was the gold standard of job hunting. It was a comprehensive, chronological document—a ...
Overview: PostgreSQL ETL tools help manage growing data volumes by automating extraction, transformation, and loading from ...
Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...
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 ...
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, ...
Adapt’s AI can pull data from a wide range of cloud systems, writing code to crunch numbers and automate tedious tasks. A ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
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