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)
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)
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 (email@example.com) for more info.
Big Data Maturity Model (BDMM) is a qualitative method to show the growth and
increasing impact of big data capabilities in an IT environment from both
business and technology perspectives. It comprises a set of criteria,
parameters and factors that can be used to describe and measure the
effectiveness of the big data adoption and implementation.
5 levels of maturity are defined: Advanced, Dynamic, Optimized, Primitive,
and Tentative (ADOPT). The definitions of all these levels are listed below:
Primitive: initial stage of disconnected activities in an unorganized fashion
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)