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 (firstname.lastname@example.org) for more info.
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)
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)
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 Data Capability Model (BDCM) is defined as the key functionalities in
dealing with Big Data problems and challenges.
It describes the major features, behaviors, practices and processes in an
organization, which can reliably and sustainably produce required outcomes
for Big Data demands. BDCM consist of the following elements:
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 confusing and
daunting. Where can you find an entry point? What is the most effective way
to get on board? Which aspects should you be mindful of? How can you not miss
the paramount things?
Why do you need to begin with the basics?
Here are five areas of consideration for Big Data on-ramp: Structur... (more)