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.
Overview: PostgreSQL ETL tools help manage growing data volumes by automating extraction, transformation, and loading from ...
A study suggests that Google’s AI has started prioritizing YouTube videos over hospitals, medical journals, and government ...
Clawdbot is a viral, self-hosted AI agent that builds its own tools and remembers everything—but its autonomy raises serious ...
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
In the race to innovate, software has repeatedly reinvented how we define identity, trust, and access. In the 1990's, the web made every server a perimeter. In the 2010's, the cloud made every ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
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 ...
Mumbai-based FireAI converts operational data from ERPs, CRMs, and POS systems into real-time, conversational insights for ...
The hard truth is that the GTM model we as an industry have spent the past decade perfecting has become a relic.
If you want your skills to show up in real work, you need more than theory. Guided projects help you move from “I watched a course” to “here is what I built and ...
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