From legacy infrastructure to public cloud services, the average enterprise has data spread across different geographical locations, file systems, databases, and applications. What's more, the sources and endpoints of that data continue to grow. As a result, while most organizations want rapid access to actionable information, effectively integrating and governing data is becoming harder than ever.

Maximizing the value of data today requires rethinking traditional approaches. To overcome data silos and ensure that data is properly protected, reliable, and available when and where it's needed, new technologies and strategies have emerged. The rise of data fabric and data mesh principles, ongoing advancements in automation and machine learning, and the growth of DataOps and related Ops disciplines are all paving the ways towards greater data empowerment.