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)
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
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)
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)
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)