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Tony Shan

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Top Stories by Tony Shan

IDG Enterprise's 2015 Big Data and Analytics survey shows that the number of organizations with deployed/implemented data-driven projects has increased by 125% over the past year. The momentum continues to build. Big Data as a concept is characterized by 3Vs: Volume, Velocity, and Variety. Big Data implies a huge amount of data. Due to the sheer size, Big Data tends to be clumsy. The dominating implementation solution is Hadoop, which is batch based. Not just a handful of companies in the market merely collect lots of data with noise blindly, but they don't know how to cleanse it, let alone how to transform, store and consume it effectively. They simply set up a HDFS cluster to dump the data gathered and then label it as their "Big Data" solution. Unfortunately, the consequence of what they did actually marks the death of Big Data. Collecting a lot of data is litera... (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)

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)