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Tony Shan

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Top Stories by Tony Shan

Big Data Maturity Model (BDMM) is a qualitative method to show the growth and increasing impact of big data capabilities in an IT environment from both business and technology perspectives. It comprises  a set of criteria, parameters and factors that can be used to describe and measure the effectiveness of the big data adoption and implementation. 5 levels of maturity are defined: Advanced, Dynamic, Optimized, Primitive, and Tentative (ADOPT). The definitions of all these levels are listed below: Primitive: initial stage of disconnected activities in an unorganized fashion Tentative: ad-hoc experiments of trial and error with some level of organized data management Advanced: comprehensive framework and lifecycle for effective execution Dynamic: consistent operationalization by means of reference architecture and best-practice patterns Optimized: converged platform with ... (more)

Big Data Pyramid

Though most big data projects are typically data-intensive, a pure data-driven approach is a big risk. These initiatives actually require multiple disciplines to implement a viable solution to complex business problems. A comprehensive method is necessary to tackle the big data issues and challenges systematically. The Big Data Pyramid is illustrated in the diagram below, which include the key constructs to capitalize the big data potentials along 4 aspects: Technology, Insights, People, and Process (TIPP). Technology: Enabling Platform - a high-performance model of loosely-coupled... (more)

Big Data Capability Model | @ThingsExpo #BigData #IoT #InternetOfThings

A capability model is a structure that represents the core abilities and competencies of an entity (department, organization, person, system, and technology) to achieve its objectives, especially in relation to its overall mission and functions. The Big Data Capability Model (BDCM) is defined as the key functionalities in dealing with Big Data problems and challenges. It describes the major features, behaviors, practices and processes in an organization, which can reliably and sustainably produce required outcomes for Big Data demands. BDCM consist of the following elements: Coll... (more)

Big Data, Big Service, and Big Ecosystem

In a recent panel session I chaired, a question was raised from audience in the Q&A part about how to relate Big Data and Big Service. There are basically two aspects in this: Big Data as a Service, and Big Data for Big Service. Big Data as a Service: BDaaS is to a large extent Big Data cloudification. We build Big Data as a capability to collect, transform, import, store, process, query, analyze, explore, predict, export, search,visualize, and display a large amount of data. Then we expose this capability as a service in a SaaS fashion, so users can leverage it to quickly solve... (more)

Service-Oriented Model-Driven Architecture Design for Cloud Solutions

I will present a tutorial on the service-oriented model-driven architecture design for cloud solutions in the upcoming International Conference on Web Services (ICWS 2009). Please join the session to explore the state-of-the-art approach to effectively developing cloud services in a systematic fashion. Contact Tony Shan (tonycshan@gmail.com) for more info. ... (more)