MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

If you’re excited by the challenge of turning raw data into powerful, scalable systems that drive real business impact, this role offers exactly that. You’ll be at the heart of designing and building ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

How event-driven data pipelines reduce latency, automate schema changes, and improve reliability across large-scale data ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Abstract— Financial institutions increasingly require real‑time insights to support fraud detection, instant payments, liquidity monitoring, and AI‑driven decisioning. Traditional ETL‑centric ...