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

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

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 ...

One feature of the big data revolution is the acknowledgement that a single database management system architecture cannot meet all needs. For instance, if you need a system that can reliably process ...

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 ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms—driven largely by the explosive rise of GenAI and large language ...

Enterprises implementing a cloud data architecture can accelerate data insights and lower their IT costs, but the cloud's potential benefits can create new problems if the data architecture isn't well ...

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 ...

The evolution of generative AI (GenAI) necessitates a sophisticated architecture that integrates advanced language models with cutting-edge technologies for improved decision-making capabilities. This ...