Enabling distributed enterprise integration with WebSphere and DB2 Information Integrator

Abstract

Information technology architects increasingly find themselves searching for better ways to access, integrate, and leverage their information, applications, and business processes. Information integration, in particular, is critical to the community of Web-based businesses, as firms that are able to leverage their information resources most effectively are best positioned to emerge as leaders in their industries. In this paper, we explore how companies can solve this complex business challenge by extending the reach of WebSphereா technology with DB2ா Information Integrator (II). DB2 II offers WebSphere developers a new approach to coping with diverse and distributed information sources, enabling them to reduce programming costs, shorten development cycles, and attain reasonable levels of performance for server-side components that need to integrate information throughout their enterprises and partner networks.

The Challenges of Reproducibility for Research Based on Geodata Web Services

“…The technological growth in the last decades led to the explosive increment of time-varying data which dynamically change to represent phenomena that grows, persists and decline [15], or that constantly vary due to data curation processes that periodically insert, update, or delete information related to data and metadata. As discussed by Saracco [16], dealing with dynamic data has consistently played a pivotal role in facilitating a wide range of analyses, such as examining changes in client accounts for financial institution audits, assessing the clinical progression of patients for legal proceedings, evaluating insurance policy terms at the time of accidents, identifying disparities in 3 travel itineraries involving car and hotel reservations, and adjusting interest rates for banks upon detecting errors. In addressing such cases two different concepts of time can be identified: systemtime and business-time [16].…”

“…As discussed by Saracco [16], dealing with dynamic data has consistently played a pivotal role in facilitating a wide range of analyses, such as examining changes in client accounts for financial institution audits, assessing the clinical progression of patients for legal proceedings, evaluating insurance policy terms at the time of accidents, identifying disparities in 3 travel itineraries involving car and hotel reservations, and adjusting interest rates for banks upon detecting errors. In addressing such cases two different concepts of time can be identified: systemtime and business-time [16]. While business-time can be defined as the instant/period for which the data is meant to be used (often referred to as "valid-time" or "application-time"), system-time relates to the data state as stored in a specific instant/period (often also referred to as "transaction-time").…”

WebSphere Application Server: A foundation for on demand computing

“…Other aspects of WebSphere Application Server and much of the WebSphere platform, including approaches to obtaining maximum scalability from WebSphere Application Server, 8 how to improve performance by caching, 9 information integration, 10 portals, 11 business process choreography, 12 disconnected and rich clients, 13 and connectors and adapters 14 are discussed at length throughout this issue of the IBM Systems Journal.…”