Machine Learning Plays Role in Reinvention of Database Science - DATAVERSITY

Machine learning has been put to many uses that involve analyzing Big Data to solve issues or address opportunities. It's been applied to delivering personalized video or article recommendations, handling fraud detection, clustering news, and predicting customer churn, for example. Now it – along with other computer science breakthroughs – is playing a role in a solution aimed at reinventing the science of databases, the places where all the Big Data that informs analytics is stored from the start. Deep Engine from Deep Information Sciences "is an adaptive database kernel and information orchestration system that leverages machine learning to completely transform how scalability and performance are achieved," says chief strategy officer Chad Jones. The company initially is targeting the Deep Engine hybrid transactional and analytical processing (HTAP) solution that handles multiple simultaneous workloads on the fly for the structured data market.