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)
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)
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)
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)
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)