Big Data Quarterly

Big Data Quarterly is the leading print and online publication focusing solely on big data applications and strategies.

Two years ago, the editorial and publishing team at DBTA started a new publication focused solely on big data. We launched Big Data Quarterly in response to what we saw as a lack of in-depth editorial resources dedicated exclusively to big data strategies and applications.

In just 2 years, Big Data Quarterly has been become the information management communities’ most important resource on big data. As the premier magazine dedicated to big data trends and applications, Big Data Quarterly provides readers with an unparalleled resource when looking for the information necessary to help shape their big data plans and strategies. 

Published four times per year, with Winter, Spring, Summer, and Fall editions, Big Data Quarterly has become a must-read publication for data scientists, CIOs, IT directors and managers, and other data professionals involved with big data projects.