Data intelligence is the value an organization gets from data integration. During the integration process, data is consumed, combined, and provisioned into data sets to satisfy the requirements of all business processes and applications that rely on access to data. Innovative and new technologies such as artificial intelligence and machine learning tools can analyze and transform these massive data sets into intelligent data insights, which are used to inform strategic business decisions.
Data orchestration extends beyond data integration, combining data discovery, preparation, integration, processing, and the connection of data across multiple and complex landscapes. Data integration is used for data in one place, while data orchestration processes and combines data in a flexible manner to enable new and/or improved business processes.
Big Data, by its very name, is composed of massive sets of unstructured data spread across disparate sources within and outside of the enterprise. Traditional databases and integration mechanisms are not equal to handling these volumes. Instead, in-memory databases, software, and storage solutions built for Big Data are necessary to acquire, store, and analyze the data. These powerful components support the velocity needed to ensure Big Data insights are actionable and valuable.