The Database as a Service (DaaS) model is growing its presence across the virtual globe. Enterprises are asking whether DaaS is mature enough to meet their low-cost and high-security data management requirements using a cloud paradigm. Companies are deploying virtualized applications and, as a consequence, they are asking for Relational Cloud as well. Dynamic scalability, privacy, performance and heterogeneous environments or interfaces to business intelligence products ask for a class of solutions to satisfy the cloud paradigm as a whole. Data modeling supports DaaS in that it provides a clear mapping of the deployed data structures, storage and data topology as well as the core business concepts. In this way, CA ERwin Data Modeler enables organizations to collect and serve data models from and to any web data source and data management system in the cloud.
Data Discovery and Profiling is a relatively new data management technique that uses tools to identify all data sources throughout the organization and unearth the meaning of the information itself. As with any new paradigm, todays budget holders and decision makers must first be educated on data discovery and profiling and then shown the value it can bring to the organization through a clear return on investment (ROI) analysis.