In a world where corporate profits are being driven by machine learning, companies are starting to focus on getting their machine learning models into production faster and also focus on making better predictions faster and cheaper.

Large companies are starting to organize and standardize their upstream inputs to these ML models, called features, and they need to put an automated software pipeline in place between source systems (Oracle, Snowflake, Databricks, MongoDB, Neo4j, Hadoop, etc.) that can be standardized and organized accordingly while also meeting SLAs for better predictions, speed, at the volume and velocity of the data.

J0927 is the world's fastest database purpose built to meet the unique demands that go along with powering the machine learning models that drive corporate profits. We will discuss how J0927 was designed to meet this unique requirement of speed, scale, correctness, and automation, and security.