In the critical stage where AI technology is transitioning from "experimental" to "enterprise-level implementation", the importance of data engineering as a foundational support is becoming ...

Today, Matrix Origin held a grand product launch conference in Shanghai themed "Generating Wisdom from Data, Harnessing ...

Ranjeet Kumar's career shows his expertise in building scalable data systems, integrating data operations, and leading ...

The global data mesh market is expected to grow at a compound annual growth rate (CAGR) of 16.4% over the course of the forecast period, from an estimated USD 1.2 billion in 2023 ...

project-root/ │ ├── package1/ │ ├── package1/ │ │ └── init.py │ ├── setup.py │ └── pyproject.toml (optional) │ ├── package2/ │ ├── package2/ │ │ └── init.py │ ├── setup.py │ └── pyproject.toml ...

The global distributor decided to take ownership of its security data, liberating engineers and cutting costs.

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

Abstract: Pipeline and void recognition are two key tasks in the underground monitoring of urban roads. Ground penetrating radar (GPR), as an effective geophysical method, plays an important role in ...

Abstract: The reliability and fault tolerance of ETL (Extract, Transform, Load) pipelines are essential for maintaining data integrity in corporate environments. Traditional ETL systems often depend ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

This project implements an ETL (Extract, Transform, Load) pipeline for toll data using Apache Airflow. The workflow automates the extraction, transformation, and consolidation of vehicle and toll ...