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Tony Shan

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Top Stories by Tony Shan

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 components to process the full set of large volumes of structured and unstructured data in a scalable way. Both COTS and open source products should be leveraged to have a best-of-breed mix. Insights: Business Value and Impacts - the big data undertakings must be pragmatic to transform the ... (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)

Technology Outlook for 2014

As we are approaching the year end in 2013, we have seen significant growth of big data this year in the rear mirror. Looking forward, what will be the forecast for the upcoming new year? Where are technologies headed in 2014? There are many interesting movements and activities in the technology frontier. It is exciting that more open source innovations are steadily changing the paradigm. The following items are predicted to be the Top 5 hot areas next year: Connection, Hybrid, Analytics, SDX, and Mobile (CHASM). Connection: The Internet of everything enables people, devices and e... (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)

Big Data Capability Model

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)