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

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)

Why SOA and Cloud Combined?

Though the industry focus has shifted from SOA to cloud computing in the recent years, SOA still serves as the foundation of disciplined IT solutioning, particularly in the software-centric space. It is necessary to identify the commonalities between SOA and cloud. For instance, both are intended to yield increased agility, enable faster time-to-market, drive more cost savings, lead to reduced integration, and facilitate easier outsourcing. More importantly, it is critical to differentiate these two items from a variety of perspectives. The highlights of the key differences are i... (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 Characterized

A recent survey by Evans Data Corp. of Santa Cruz, California found that more than one-third of the people surveyed said the overall size of their organization’s data stores would grow by more than 75% over the next year. Nearly 15% indicated that storage requirements would more than double. 71% of respondents specified that they require advanced processing more than half the time. The findings are in line of the new trend of real-time event processing for Big Data. Hence I complied the secondary Vs to further characterize Big Data: Viscosity: Viscosity is a measure of the resist... (more)

Big Data Is Really Dead | @ThingsExpo #BigData #IoT #InternetOfThings

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,... (more)