Legacy data platforms aren’t enough to drive state and local agency success in today’s environment. Here’s what modernizing can do instead. All modern organizations, including state and local ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Software is modern. By its very nature in the total ...

Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...

Better data and analytics give decision makers a clearer picture of their environment. Just as a higher-resolution photograph shows greater detail and brings background images into focus, high-value ...

In today’s complex business environment, many organizations are grappling with how to create value from all their data, doing more with less and ensuring productivity. Many are looking for solutions ...

In the next three to five years, we believe a set of intelligent data apps will emerge requiring a new type of modern data platform to support them. We refer to this as a sixth data platform. In our ...

Data transformation startup Tobiko may not be a household name yet, but you may have seen co-founder and CEO Tyson Mao on “Beauty and the Geek” back in the aughts and his co-founder, brother and CTO ...

In the first of this two-part series we looked at the all-flash data center and the evolving needs of business in a digital world. What emerged is the need for organizations to be able to react ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Many organizations have ...

Data silos, limited scalability and performance bottlenecks, poor data quality and governance, cost inefficiencies, and an inability to support AI workloads – these are just some of the challenges ...