Abstract—Primary focus of the lean architecture approaches
is the enterprise value stream. They offer techniques to grip the
consumers at the early stages of the integration architecture (IA)
such that every subsequent artifact complements to IA. In recent
years, interactive enterprise (IE) centric architecture integrates
data and business processes by placing or updating reusable as
well as orchestrated services of IA. The practices in data
warehouse development have become ubiquitous, especially, as
the need for system interoperability has grown and expectation
has been increased to address susceptibility in association with
enterprise-grade interactivity. More enterprises desire to
architect application programming interface (API) landscape
that consents to consolidating and associating segregated logical
data sets to aspects of a responsive IE. In this paper, we
provided an approach to disseminate and classify the emerging
data services (DSs) that formulates an IE. The methodology to
update these DSs enables IE to attend diversified characteristics
of API context and traceability to the aspects of business
processes (BPs). The lean IA principles and corresponding
architecture trade-offs are derived to update and introduce. We
present standardization to consistently evaluate these DSs
within the characteristics of IE reportable across an enterprise.
Index Terms—Architecture trade-off analysis, business
processes (BPs), data services (DSs), interactive enterprises
(IEs), lean integration architecture (IA).
Vikas Shah is with Wipro Technologies, East Brunswick, USA (e-mail:
vikas.shah@wipro.com).
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Cite: Vikas S. Shah, "Emerging Data Services Viscosity to Enrich Pivotal Capabilities of Interactive Enterprises: Towards a Lean Integration Architecture Approach," International Journal of Knowledge Engineering vol. 1, no. 3, pp. 197-203, 2015.
