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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

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 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, 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)

Big Data Redefined By @TonyShan | @CloudExpo [#BigData]

Big Data is a loose term for the collection, storage, processing, and sophisticated analysis of massive amounts of data, far larger and from many more kinds of sources than ever before. The definition of Big Data can be traced back to the 3Vs model defined by Doug Laney in 2001: Volume, Velocity, and Variety. The fourth V was later added in different fashions, such as “Value” or “Veracity”. Interestingly the conceptualization of Big Data in the beginning of this century seems to gain wider use now after nearly 14 years. This sounds a little strange as the present dynamic world ha... (more)

Internet of Things Maturity Model By @TonyShan | @ThingsExpo [#IoT]

Internet of Things (IoT) is booming. The “Software for the Internet of Things (IoT) Developer Survey” report, published by Embarcadero Technologies last month, shows that 77% of development teams will have IoT solutions in active development in 2015 with almost half (49%) of IoT developers anticipating their solutions will generate business impacts by the end of this year. IoT Maturity Model (IoTMM) is a qualitative method to gauge the growth and increasing impact of IoT capabilities in an IT environment from both business and technology perspectives. It comprises  a set of crite... (more)