Data Warehouse + Time == Data Timehouse
I just launched a new Substack, sponsored by KX, about all things "Data Timehouse." It's like a data warehouse, but built for time.
📣 Announcing
, a new Substack that I’ll be helping my friends at KX write and develop. A Data Timehouse is like a Data Warehouse, designed for time. It's a form of data management becoming increasingly crucial as streaming data and generative AI become ubiquitous.Why do we need this new technology? Einstein said that time is like a fourth dimension. It helps us to understand when things happened and why. Well, machines need to know about time, too, so they can figure out patterns in data.
With it, scientists, programmers, and analysts can better understand data more quickly and easily because a Data Timehouse understands time and provides an easy, fast, efficient way to ask and answer questions about when, why, and if something will happen in a temporal context.
A Data Timehouse has different "physics" than a traditional data warehouse. Gartner analyst Daryl Plummer advised chief data and analytics officers to “stop trying to force fit temporal data into conventional data stores.”
Check out the first article, What is a Data Timehouse? It describes how understanding time helps humans and algorithms discover patterns and derive meaning from temporal data "at the speed of thought" and why their physics can yield answers up to 50 times faster than traditional alternatives.
The Substack will cover how to manage time-based data in the cloud, how the Data Timehouse is a great tool to support new, important generative AI use cases like similarity search, and how to handle #iot data with temporal context at high speed. See you on