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, 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)

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)

IoTization By @TonyShan | @ThingsExpo #IoT #API #BigData #InternetOfThings

The IoT market is on track to hit $7.1 trillion in 2020, according to an IDC's study. Are we ready for this massive demand? How can we deal with the challenges? Some firms choose to take no action by claiming they are too busy with what they are doing. Some organizations blindly jump into it with no thinking or planning. Some companies opt to take a bold stance to bet on something immature. Needless to say, all these attempts are highly risky and naive. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth. An I... (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)