To bridge the gap between agility and safety, enterprise architects must move away from big-bang deployments and adopt a ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

CIOs must clearly tie technology to business goals to attract talent, according to Heidrick & Struggles’ Sunny Ackerman.

Learn how Apache Iceberg, open standards, consistent governance, and hybrid design can keep a lakehouse architecture flexible ...

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 ...

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

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 ...

For years, experts have stressed that the success of a microservices architecture rests upon bounded contexts, which draw clear boundaries between underlying functional logic and application state ...

None of the big AI labs are currently attempting to tackle this challenge. That’s leaving the job up to the companies that ...

To meet the needs of the digital economy of the 2020s, data architecture has evolved into a dif­ferent animal than it was 10, or even 5, years ago. Most notably, there are three trends that have ...

Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time. Once processed, the data is ...