Silicon Valley engineers and engineering challenges have ruled the data world for 20 years. The net result is data infrastructure companies focus on the largest scale and fastest systems to process enormous amounts of data, regardless of usability. We don't all have movie libraries the size of Netflix, search indexes the size of Google, or social graphs the size of Meta.

Instead of focusing on consensus algorithms for large-scale distributed computing, our engineers should focus on making data more accessible and usable and reduce the time between "problem statement" and "answer". In this session, we explore the changes in hardware and mindsets, enabling a new breed of software optimized for the 95% of us who do not have petabytes to process daily.