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

Tony Shan

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Latest Blogs from Tony Shan
According to a Gartner survey, the IoT market is estimated to reach $14.4 trillion by 2022. 6.4 billion connected "things" are projected by the end of this year. Almost two-thirds of companies either have, or soon will have, IoT as the backbone of their
Advances in technology continue to fueling innovation at an unprecedented pace. Digitization has entered a new era. Connected enterprises are widespread. How can you get better prepared to harness emerging technologies in the new year? The following
A TechNavio report shows that the global market for Internet of Things (IoT) is expected to grow at a CAGR of 31.72% from 2014 to 2019. Are you prepared for this explosive growth?IoT is the network of physical objects (devices, vehicles,
40 billion devices are predicted to be on the Internet by 2020. The data volume in the world is projected to reach 40 Zettabytes in 2020. Internet of Things and Big Data will fundamentally change the world in the next few years. To understand why, let's
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 develo...
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...
2015 is around the corner. Once again, we’d like to take a forward-looking view on the future to see what will be the key drivers at the technology forefront. The following lists the items that are forecast to lead the innovation charge in the new year:
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
LAMP is an acronym for an archetypal model of web-based solution stacks, originally consisting of largely interchangeable components: Linux, the Apache HTTP Server, the MySQL relational database management system, and the PHP/Python programming language.
Big Data has moved to the “Trough of Disillusionment” phase in the “Hype Cycle for Emerging Technologies” by Gartner released last month. Also, Data Science was added in the chart, bordering between the “Innovation Trigger” and “Peak of Inflated
NoHadoop is not only Hadoop. Why?According to the 2014 Big Data & Advanced Analytics Survey conducted by the market research firm Evans Data, only 16% of over 400 developers surveyed worldwide indicated that Hadoop batch processing was
According to IDC, Big data technology and cloud demand will push global IT spending beyond $2 trillions in 2014. Spending on big data technologies should see a 30% rise, with $14 billions expected to be shelled out on the analysis of huge pools of data
Traditional analytics are usually a process for generating reports from structured data stored in an old-fashioned data warehouse. Big Data drives business values by creating competitive advantages and relevance from different sources of structured, semi
Big Data is adding big values to organizations. Early adopters are capitalizing on opportunities to grow and gaining competitive advantages to improve results via Big Data. In the TechNavio’s Global Big Data Market 2014-2018 report, analysts forecast
The adoption of Hadoop has been increasing. More and more organizations are using Hadoop for various solutions. Some companies replace the existing data stores with Hive and HBase. Some firms make use of Mahout for
The 2014 IDG Enterprise Big Data Survey report reveals that companies are seeing exponential growth in the amount of data managed with an expectation of 76% increase in the next 12-18 months, and organizations are
Big Data has been growing fast. Qualified resources with right skillsets are heavily sought after to tackle Big Data challenges. Depending on the scope of the Big Data initiatives, roles in a Big Data team vary a lot as compared with the traditional IT
Big Data is continuing its remarkable advance in the new year. It becomes more important to set the context right. I discussed the limitations of the traditional 3-Vs for the Big Data definition – volume, velocity, and variety, and added 3 more Vs
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 ...
Big Data is the hottest topic in the industry now. Companies can’t wait to jump on the Big Data boat. We have had a lot of successful Big Data implementations in various verticals. However, a number of firms simply just got it started without any mindful
Big Data is changing the world now by revolutionizing the business profoundly in this century. But it is hard to believe that few know exactly what it actually means, though there have been many attempts to define Big
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
Nontraditional databases have grown tremendously in the past few years. Now we have literally a few hundred Big Data stores and more are coming. The upside is that all of these drive innovations and lower the cost for customers. The downside is that it
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 Bi...
Big Data is concerned with size, type, and speed, characterized as Volume, Variety, and Velocity (3V). The key is the effective processing of large-scale data to obtain correlation and insights in a context-aware manner. On the other hand, Cloud
A capability model is a structure that represents the core abilities and competencies of an entity (department, organization, person, system, and technology) to achieve its objectives, especially in relation to its overall mission and functions. The Big
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...
An architecture framework establishes a common practice for creating, interpreting, analyzing and using architecture descriptions within a particular domain of application or stakeholder community (ISO/IEC/IEEE 42010). The Big Data Architecture Framework
An architecture framework establishes a common practice for creating, interpreting, analyzing and using architecture descriptions within a particular domain of application or stakeholder community (ISO/IEC/IEEE 42010). The Big Data Architecture Framework
The current Big Data paradigm continues evolving to exit the immature state. This has evidently forced many early adopters to search in the dark for the light at the end of the tunnel, in order to construct useful Big Data
The current Big Data paradigm continues evolving to exit the immature state. This has evidently forced many early adopters to search in the dark for the light at the end of the tunnel, in order to construct useful Big Data
Quite a few Big Data applications have been recently developed for a variety of complicated and large-size enterprise solutions in several domains. Despite their multifaceted functionality suited for data-intensive processing, these large-scale
Quite a few Big Data applications have been recently developed for a variety of complicated and large-size enterprise solutions in several domains. Despite their multifaceted functionality suited for data-intensive processing, these large-scale
Once again, we have seen exciting and phenomenal movements in the technology frontier this year, particularly in the fields of SMAC. Looking forward, 2013 is expected to be more accelerated and innovative. I predict that the challenging theme for
Once again, we have seen exciting and phenomenal movements in the technology frontier this year, particularly in the fields of SMAC. Looking forward, 2013 is expected to be more accelerated and innovative. I predict that the challenging theme for
Now the election in US is over. What differs the most from the last presidential election in 2008 is the impacts of new technologies such as blogs and social media. Interestingly, Nate Silver made a surprisingly accurate prediction of the election
Now the election in US is over. What differs the most from the last presidential election in 2008 is the impacts of new technologies such as blogs and social media. Interestingly, Nate Silver made a surprisingly accurate prediction of the election
Though most big data projects are typically data-intensive, a pure data-driven approach is a big risk. These initiatives actually require multiple disciplines to implement a viable solution to complex business problems. A comprehensive method is
Though most big data projects are typically data-intensive, a pure data-driven approach is a big risk. These initiatives actually require multiple disciplines to implement a viable solution to complex business problems. A comprehensive method is