Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

Setting up a stack of data tools is a difficult exercise for any startup to undertake, involving picking and choosing among a wide variety of tools and approaches. Mozart Data’s founders have a ...

The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data ...

There are numerous reasons why organizations pursue a "modern data stack." Some aim to move away from a "silos and spaghetti architecture" described in "Future Ready," while others aim to establish an ...