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Leading by Game-Changing Cloud, Big Data and IoT Innovations

Tony Shan

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Top Stories by Tony Shan

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)

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)

Big Data On-ramp

Due to the unprecedented volume, variety, and velocity of Big Data, it is neither trivial nor straightforward to find a clear path to jumpstart the Big Data journey. This space is overwhelmingly crowded with so many immature options and evolving solutions. To some extent it is somewhat confusing and daunting. Where can you find an entry point? What is the most effective way to get on board? Which aspects should you be mindful of? How can you not miss the paramount things? Why do you need to begin with the basics? Here are five areas of consideration for Big Data on-ramp: Structur... (more)

Big Data Maturity Model

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 Tentativ... (more)

Big Data, Big Analytics, and Big Insights

Every day 2.5 quintillion (1018) bytes of data are created, and 90% of the data in the world today has been generated in the last couple of years alone. Big data is a general term used to describe the voluminous amount of unstructured and semi-structured data, which takes too much time and cost too much money to load into a traditional data store for analysis. The impact of big data is significantly cross-cutting, for both the business and technology management at the provider and consumer sides. 2012 tends to be a big year for big data and big analytics. To effectively explore ... (more)