This book is intended to provide a guide to the universe of data content produced by the global capital markets on a daily basis. Commonly referred to as market data, the universe of content is very wide and the type of information correspondingly diverse. Jargon and acronyms are very common. As a result, users of marker data typically face difficulty in applying the content in analysis and business applications. This guide provides an independent framework for understanding this diversity and streamlining the process of referring to content and how it relates to todays business environment. The book achieves this goal by providing a consistent frame of reference for users of market data. As such, it is built around the concept of a data model a single, coherent view of the capital markets independent of any one source, such as an exchange. In particular, it delineates clearly between the actual data content and how it is delivered (i.e., realtime data streams versus reference data). It shows how the data relates across the universe of securities (i.e., stocks, bonds, derivatives etc.). In this way, it provides a logical framework for understanding how new content can be added over time as the business develops. This is the first comprehensive catalog and taxonomy to be made available for a business audience. The framework described in this book is implemented as a relational data model in the industry today and used by blue chip multinational firms. There are no arbitrary distinctions made based on asset class or data type (the legacy approach). The model presented in this book is fully cross asset and makes no distinction between data types (i.e., realtime versus historical/reference data) or sources. The framework is an independent, objective overview of how the data content integrates to provide a coherent view of the data produced by the global capital markets on a daily and intra-day basis. It provides a logical framework for referring to the content and entit