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Tony Shan

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Top Stories by Tony Shan

As you know, the old tale of the “Blind Men and an Elephant” shows the relativism and opaqueness or inexpressible nature of truth, where there is a deficit or inaccessibility of information. This is very true in the Hadoop world today. If you ask 10 people what Hadoop is, it is very likely that you may get 11 answers back nowadays. As the topic is getting hotter and hotter, it is actually becoming more and more confusing. It is not uncommon these days that some people bring up Hadoop as a “hammer” to address literally every IT issue we are facing now. Some people without deep knowledge and experience on IT tend to toss out Hadoop phrases to solve problems with no linkage to the context of Big Data. Some people choose to place ads to hire a Hadoop architect/developer without understanding what these roles really mean. Some people sell Hadoop products to tackle comple... (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)

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)

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)