Data Engineering for Real-Time Financial Intelligence

Real-Time Financial Intelligence: Data Engineering Foundations, Architectures, and Practices presents a detailed discussion of the practices, architectures, data, and analytics for building a data engineering ecosystem that can support real-time financial intelligence.

Real-time financial intelligence refers to the ability to provide timely insights into a rapidly changing financial landscape. Time-sensitive information is received from multiple sources, processed with minimal or no delay, and released to interested parties as quickly as possible. Data engineering play a key role in enabling real-time financial intelligence, forming the foundation upon which the analytics are built. The fundamental principle of data engineering is providing the right data to the right place at the right time. Within the broader context of real-time financial intelligence, the corresponding goals of data engineering can be summarized as follows. Data must be ingested from a constantly changing set of sources, be processed rapidly in order to minimize the operational impact of actively monitoring these sources, and be available with minimal delay to the applications and users that require it.