For the past couple of years, we’ve been learning to treat AI like a clever tool—a supercharged search engine or a brainstorming partner. With the release of ChatGPT Agent, OpenAI is asking us to ...

Companies are under pressure to move faster and operate leaner. A growing number are turning to AI-powered systems to replace ...

Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Notably, the new Lakeflow Declarative Pipelines capabilities allow data engineers to build end-to-end production pipelines in SQL or Python without having to manage infrastructure.

AI News ETL Pipeline Using Python and SQLite Overview This project demonstrates the creation of an ETL (Extract, Transform, Load) data pipeline using Python, SQLite, and Apache Airflow. The purpose of ...

Generate data For the example in this repo we use the TPC-H data set and Coincap API. Let's generate the TPCH data, by running the following commands in your terminal: ...

With the increasing utilization of data in various industries and applications, constructing an efficient data pipeline has become crucial. In this study, we propose a machine learning ...