Though most big data projects are typically data-intensive, a pure
data-driven approach is a big risk. These initiatives actually require
multiple disciplines to implement a viable solution to complex business
problems. A comprehensive method is necessary to tackle the big data issues
and challenges systematically. The Big Data Pyramid is illustrated in the
diagram below, which include the key constructs to capitalize the big data
potentials along 4 aspects: Technology, Insights, People, and Process (TIPP).
Technology: Enabling Platform - a high-performance model of loosely-coupled
components to process the full set of large volumes of structured and
unstructured data in a scalable way. Both COTS and open source products
should be leveraged to have a best-of-breed mix. Insights: Business Value and
Impacts - the big data undertakings must be pragmatic to transform the ... (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 (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: