I am Jinja, a Business IT Coordinator.“The Sales Department and the Accounting Department have different addresses registered for the same customer.”“I have to collect data from multiple systems and ...

In today’s evolving technological landscape, a solid understanding of the progression of data and application architecture is an important part of the technology leader’s role. By embracing modern ...

Data scientist David King bridges the gap between unreliable data pipelines and scalable enterprise AI through production-ready data architecture and predictive modeling.

Oracle’s Deep Trust AI Architecture moves AI agent security into the database. This article looks at the announcement, how it ...

Learn how data sovereignty, local AI and hybrid architecture can help enterprises govern sensitive workloads, control costs and reduce cloud dependence.

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

Data architecture is a discipline that documents an organization's data assets, maps how data flows through IT systems and provides a blueprint for managing data. Its goal is to ensure that data is ...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. “It’s amazing to see some of these technologies come back around,” Serra said.

Many people believe data architecture and information architecture are one and the same. But this misconception among data management leaders and their teams results in poorly designed architectures ...