Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...

Today, many enterprises are discovering that their existing data architectures simply weren't designed for the demands of AI ...

The exponential growth of digital data is being driven by a number of factors, including the burgeoning Internet of Things (IoT) and an increased reliance on complex analytics extracted from extremely ...

During QCon SF, Jeremy Edberg and Qian Li from DBOS presented a non-conventional architectural approach to workflow ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

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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 ...

One of the major challenges for the IT companies today is how to manage large growing volumes of data and how to produce a quality driven software product ensuring optimal utilization of resources ...

Businesses are racing to harness sprawling data across multiple cloud platforms. Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions ...

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 ...