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A Quest for Beauty and Wealth (or, Business Processes for Database Researchers)

机译:对美丽和财富的追求(或数据库研究人员的业务流程)

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While classic data management focuses on the data itself, research on Business Processes considers also the context in which this data is generated and manipulated, namely the processes, the users, and the goals that this data serves. This allows the analysts a better perspective of the organizational needs centered around the data. As such, this research is of fundamental importance. Much of the success of database systems in the last decade is due to the beauty and elegance of the relational model and its declarative query languages, combined with a rich spectrum of underlying evaluation and optimization techniques, and efficient implementations. This, in turn, has lead to an economic wealth for both the users and vendors of database systems. Similar beauty and wealth are sought for in the context of Business Processes. Much like the case for traditional database research, elegant modeling and rich underlying technology are likely to bring economic wealth for the Business Process owners and their users; both can benefit from easy formulation and analysis of the processes. While there have been many important advances in this research in recent years, there is still much to be desired: specifically, there have been many works that focus on the processes behavior (flow), and many that focus on its data , but only very few works have dealt with both. We will discuss here the important advantages of a holistic flow-and-data framework for Business Processes, the progress towards such a framework, and highlight the current gaps and research directions.
机译:尽管经典数据管理着重于数据本身,但是对业务流程的研究还考虑了生成和操纵该数据的环境,即该数据所服务的流程,用户和目标。这使分析师可以更好地了解围绕数据的组织需求。因此,这项研究具有根本的重要性。在过去的十年中,数据库系统的成功很大程度上归功于关系模型及其声明性查询语言的优美和优雅,以及广泛的基础评估和优化技术以及高效的实现。反过来,这又为数据库系统的用户和供应商带来了经济财富。在业务流程的环境中寻求相似的美丽和财富。就像传统数据库研究一样,优雅的建模和丰富的底层技术可能为业务流程所有者及其用户带来经济财富。两者都可以从容易制定和分析过程中受益。尽管近年来这项研究已经取得了许多重要的进展,但是仍然有很多需要改进的地方:特别是,有许多工作着眼于流程行为(流程),许多工作着眼于其数据,但只是非常很少有作品能同时处理两者。我们将在这里讨论用于业务流程的整体流和数据框架的重要优点,以及该框架的进展,并强调当前的差距和研究方向。

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