The promise of the new agents is to solve the fragmentation problem that plagues finance departments. Unlike a sales leader ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Abstract: The need for effective Extract, Transform, Load (ETL) technologies that can manage the growing volumes of both structured and unstructured data in information lakehouse architectures is ...

This project develops a basic data pipeline for an event ticketing system, integrating CSV-based vendor feeds with a relational database. The system simulates how major ticket platforms manage direct ...

Abstract: Data value creation is crucial in a data warehouse environment, where the ETL process is used as a tool to reduce data redundancy. This research presents a model of data value creation ...

An introduction to the open-source LMOS platform and its Kotlin-based Arc framework for building, deploying, and managing cloud-native, multi-agent AI systems. Across 10 countries in Europe, Deutsche ...

You have three flexible options for defining your ticker universe: Run the script to auto-fetch the S&P 500: python _2_get_sp500_tickers.py Manually replace the default ticker list in output/Static ...

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 ...