Over the next few years, the "realtime commerce" space is set to experience
phenomenal growth. Companies such as One Kings Lane, Groupon, LivingSocial,
Ideeli and others are developing a whole set of new retail business models.
Others such as Amazon and Netflix are developing ever more powerful
recommendation engines, and a huge number of companies are looking to develop
more accurate models for personalization and targeted advertising. A new
"realtime commerce" revolution is underway that will be as profound a shift
for the business world as the eCommerce revolution of the 1990s.
To be successful in realtime commerce, companies will have to put in place a
whole raft of new capabilities, many or most of which will require, and be
powered by, new realtime big data analytics platforms. The winners in
data-driven realtime commerce will be those that can best handle som... (more)
Data is growing exponentially everywhere - in business, web, finance,
government, science, and in the world of sensors and smart grids.
Speaking earlier this week at OSBC, Tim O'Reilly said "The future will be
all about who has most data, and who is able to extract meaning from it and
deliver it in real time". He noted that the IT industry is now in the
process of being reinvented around the idea of realtime analysis of "Big
Data" in the cloud, as a must-have adjunct to the much more limited kinds of
data processing and analytics that can be performed on desktop PCs or mobile
d... (more)
For twenty years, analytics has been viewed as just one specific area within
the broader relational database industry. So, analytics has meant databases.
Today that view is changing. Over the past year or so, a new movement, the
"NoSQL" movement has emerged promoting the advantages of doing a variety of
kinds of analytics without using any relational database technologies at all.
Whatever one thinks of the capabilities and limitations of distributed
key-value stores relative to relational databases, one thing is clear - the
stranglehold that SQL has held over all aspects of data an... (more)
Cloudcel on Ulitzer
Data is revolutionizing how we live and work, and it's growing exponentially
everywhere.
Faced with this information explosion, experienced programmers are now using
parallel processing tools such as MapReduce/Hadoop, rather than SQL
databases, to analyze large repositories of stored, historical data.
The next major step in this direction is to bring the full power of advanced
data mining and analytics, realtime stream processing, and massively parallel
computing to everyone, not just to experienced programmers.
The cloud is central to bringing about this radi... (more)
Early Bird at CLoud Expo
In computing, big revolutions happen whenever a new technology comes along
that enables everyone to do something that could previously only be done by a
small number of technology experts, or only by those with tons of money and
technical talent. Personal computing (Microsoft, Apple), Publishing (Adobe),
Search (Google), Video (YouTube), News/Journalism (blogs) are all examples of
this kind of disruptive revolutionary change. What's the next big game
changer? In a word - Apps! We are about to move to an era in which everyone
will be able to build their o... (more)
Bill McColl left Oxford University to found Cloudscale. At Oxford he was Professor of Computer Science, Head of the Parallel Computing Research Center, and Chairman of the Computer Science Faculty. Along with Les Valiant of Harvard, he developed the BSP approach to parallel programming. He has led research, product, and business teams, in a number of areas: massively parallel algorithms and architectures, parallel programming languages and tools, datacenter virtualization, realtime stream processing, big data analytics, and cloud computing. He lives in Palo Alto, CA.
Scott Sellers
David M. Adler
Anthony Franco
Daniel Morris
Wayne Walls
Niki Acosta
Jereme Hancock
Oren Michels
Marvin Wheeler
Douglas Kim
Ken Guiberson
