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Big Data, Big Service, and Big Ecosystem

There are basically two aspects in this: Big Data as a Service, and Big Data for Big Service

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 business problems without worrying about the low-level plumbing activities. Alternatively, part of these components are developed as PaaS functions, so that they can be consumed or assembled as cloud services at a more granular level.
  • Big Data for Big Service: Big Data is a core element of Big Service, which provides business functions and technology means in a service-oriented manner for large-scale complex solutions. Big Service entails various constituents such as Big Application and Big Process. Big Data deals with data-intensive issues and design concerns, particularly the non-functional requirements like scalability, in a combination of SQL and NoSQL hybrid. Together, they form an integrated Big Service platform that realizes and supports the business model and operations.

Further, Big Service is linked to Big Ecosystem for the next-generation digital paradigm. For example, mobile devices and access channels are important interfacing constructs to end users. An elastic computing fabric for Internet of Things must be tied with contents and semantic contexts. Technology enablers ought to go beyond the traditional business and technology values – societal impacts, consumerization, and crowdX, to name just a few. In essence, we need a discipline of “Big Engineering” to tackle the contemporary problems of Big Ecosystem in this new era.


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Tony Shan works as a senior consultant, advisor at a global applications and infrastructure solutions firm helping clients realize the greatest value from their IT. Shan is a renowned thought leader and technology visionary with a number of years of field experience and guru-level expertise on cloud computing, Big Data, Hadoop, NoSQL, social, mobile, SOA, BI, technology strategy, IT roadmapping, systems design, architecture engineering, portfolio rationalization, product development, asset management, strategic planning, process standardization, and Web 2.0. He has directed the lifecycle R&D and buildout of large-scale award-winning distributed systems on diverse platforms in Fortune 100 companies and public sector like IBM, Bank of America, Wells Fargo, Cisco, Honeywell, Abbott, etc.

Shan is an inventive expert with a proven track record of influential innovations such as Cloud Engineering. He has authored dozens of top-notch technical papers on next-generation technologies and over ten books that won multiple awards. He is a frequent keynote speaker and Chair/Panel/Advisor/Judge/Organizing Committee in prominent conferences/workshops, an editor/editorial advisory board member of IT research journals/books, and a founder of several user groups, forums, and centers of excellence (CoE).