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 everybody
objects to be connected on Internet, which has been changing our life styles.
Lightweight technologies such as MQTT will facilitate the use of
wearable/embedded devices and sensors in constrained networks. Hybrid: Cloud
computing continues to expand, particularly in the field of the... (more)
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
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
Big Data as a Service: BDaaS is to a large extent Big Data cloudification. We
build Big Data as a capability to collect, transform, import, store, process,
query, analyze, explore, predict, export, search,visualize,
and display a large amount of data. Then we expose this capability as a
service in a SaaS fashion, so users can leverage it to quickly solve... (more)
There have been a lot of discussions on cloud computing. The fundamental
question is how the cloud services can be logically organized from a
A structured way is needed to provide a taxonomy to classify a vareity of
XaaS offerings, which extends the traditional SaaS, IaaS, and PaaS areas.
Here is a dome model for cloud services (click image to enlarge). Detailed
definitions with examples can be obtained by contacting the author.
Contact Tony Shan (firstname.lastname@example.org) for more info.
The emerging cloud computing is gaining more attention nowadays and is
expected to mature over the next few years. A question is raised as to
whether the engineering of cloud computing is a disruptive innovation. In
other words, is the discipline of cloud engineering a convergence of the
traditional IT-related engineering practices, such as software engineering,
systems engineering, web engineering, service engineering, and platform
engineering? Or is the cloud engineering in its own domain, dealing with the
unique challenges faced by the cloud computing, like multitenancy as an ... (more)