Data & AI

Simplicity. Why can it be so hard to achieve? Something I’ve learned with problem solving is: if you find yourself spiraling into a pit of complexity, often the right approach is to go back to the start and look for another way. For centuries, astronomers struggled to map the paths of the stars and the […]

We’re  a few weeks into open enrollment 2016 and millions of Americans are shopping healthcare plans and finding affordable care through Healthcare.gov. MarkLogic is grateful to continue to play a crucial role in the success of Healthcare.gov – one of the healthcare world’s most ambitious operational data integration projects. The infographic below illustrates the immense data challenges that were successfully met by MarkLogic […]

Mainframe computers first appeared half a century ago, and the “big irons” still store and process a significant amount of all Internet data. However, mainframes are showing their age and having trouble keeping up with the demands of a digital era. Besides being costly to operate, they also can’t easily move to the cloud, meaning […]

Relational databases require ORM, which extracts the data away, tearing apart the data and adding more overhead in the process. This post is the last one in my series about “why RDBMS aren’t working” to handle today’s data challenges. The previous posts focused on the relational data model being a poor fit for today’s data, […]