Traditional analytics are usually a process for generating reports from
structured data stored in an old-fashioned data warehouse. Big Data drives
business values by creating competitive advantages and relevance from
different sources of structured, semi-structured, and unstructured data.
Analytical processes that used to run long hours or days are now reduced by
an order of magnitude.
Real-time Big Data represents a convergence of science, engineering, and
technology disciplines to collect, transform, store, process, analyze, and
search massive data in real time. The trend is towards faster, intelligent,
increasingly-automated, cost-effective, and high-quality processing of data
that produces insights quickly and offers specific recommendations in the
right context, resulting in greater sales and higher profits. Despite recent
progress in the high-performance syste... (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)
The adoption of Hadoop has been increasing. More and more organizations are
using Hadoop for various solutions. Some companies replace the existing data
stores with Hive and HBase. Some firms make use of Mahout for machine
learning. Others are building new applications on the Hadoop platform from
the ground up. Now the critical question is where Hadoop can and should be
Hadooplicability is the measure of the Hadoop applicability. It helps users
find the most applicable areas where Hadoop can be leveraged. While
Hadoopability, as defined before in another post of this blog,... (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.
The Federated and Adaptive Cloud Environment is illustrated in this diagram
(click image to enlarge). It consists of 4 integral parts:
FoundationService Integration & Management Platform and Lifecycle
Engineering (SIMPLE)Cloud Service FactoryComposite CloudsContact Tony Shan
(email@example.com) for more details.