What is Hybrid Data Management?


The ability of machine learning (ML) to stream, analyze and learn from data sets without explicit programming can be extremely valuable, allowing data scientists to develop and improve ML models on the platform where the data resides. Effective data management should enable data from various sources--including on-premises, cloud and data lakes--to be input into ML models. Workloads such as cross-analyzing unstructured data from external sources with historical structured data to uncover patterns can allow you to predict changes in customer demand, identify potential problems before they occur and more.