Sometimes you have a choice. You either jump in and join the game, or sit on the sidelines and watch other teams play. Core Analytics and Game Loyalty are joining in the Cloud game. Here's a preliminary introduction to what's currently going on in this space. (Saturday is a good day to go through all the professional magazines and newspapers that have accumulated, before recycling).
I've asked the question many times over the past year: what exactly is cloud computing and how does it differ from current systems. (I'm still under the impression there's a bit of rebranding and productizing something that's been around for a while going on.) Cloud computing involves using multiple server computers on a digital network, to centralize all enterprise applications. Not using a cloud, you would be using a single web server and with a cloud you are able to use many web servers, by renting extensive shared server space. The advantage of the cloud is that the work load is optimized, space is unlimited, and you pay storage rent based on usage. Essentially, this computing and storage sharing system appears to operate similarly to the energy grid, (which is a series of independently owned and operated plant and transmission lines) where distributed data flow and processing power is analogous to electric power transmission .
Another related term is Big Data. It's appropriately named, these are datasets commonly generated by weblogs, social networks, social data and they comprise large quantities of data that are beyond the ability of most existing software and technology to efficiently store, manage and analyze. New technologies, many of them open source, are emerging to handle these massive amounts of data. Some of the current leaders in the space are MPP databases, data grids, HPCC/ECL, Hadoop, and MapReduce technologies, scalable storage solutions, and cloud computing.
The June 27, 2011 issue of InformationWeek features an article in the analytics section entitled 'Ballmer Defines 'Big Data' in Microsoft's Terms'. To summarize the article, MSFT is making 'Big Data' a top priority, and they are approaching this from a different angle than Oracle (benefiting from their acquisition of SUN Systems and bundling data warehousing) and IBM (that has a grid-based NAS solution). Ballmer is focusing on how Big Data and cloud computing combine in an on-premises data and Microsofts' online data centers. Microsoft is a relatively late entry to the Big Data game, with it's SQL Server R2 Parallel Data Warehouse introduction in late 2010. Ballmer says 'Nobody plays in big data, really, except Microsoft and Google'. What he's referring to here are the Bing and Google search engines. The search engines rely on infrastructure that easily manages petabytes of data daily. Bing and Google-related processing is far more powerful because it can scale up to petabyte-style deployments. The real value is in leveraging the data for Business Intelligence and Analytics. Nielson and Acxiom are other leaders in the cloud-computing and big data analytics space. Here's an interesting NoSQL conference coming up in San Jose at the end of August related to the Big Data topic.
Big Data Analytics and Cloud Analytics: Embracing the Cloud and the Big Data Grid
Other Posts by Kimberly Chulis
Game Monetization: Recognize and Reward Your Most Valuable Players - January 15, 2012
Overview of Angry Birds Monetization and Brand Strategy from Casual Connect Kyiv 2011 - December 28, 2011
Game Analytics: Platform Trends, Monetization and Player Value in Social Games - December 13, 2011
Cloud Analytics, Big Data Analytics: The Sky's the Limit for Spatial and Geo-Location Analytics - July 11, 2011
The moderated business community for business intelligence, predictive analyics, and data professionals.
Big Data Blasphemy: Why Sample? (276 views)
Selling BI… Are we doing it wrong? (245 views)
Strata 2012: Big Data is Bigger than Ever! (211 views)
The Predictive Analytics in the Cloud Study is complete!
Register here to access the full results of this exclsuive study on Predictive Analytics and Cloud Technology including a whitepaper, 2 webinars, multiple podcasts and more!
Stephen Baker is the author of The Numerati & a journalist with 20 years of experience at BusinessWeek. More »
Paul Barsch directs professional services marketing programs for Teradata and has more than fifteen years of information... More »
Gary Cokins is an internationally recognized expert, speaker, and author. More »
Jill Dyché is an internationally recognized author, speaker, and business consultant. More »
Themos Kalafatis has worked as a consultant for Data Mining, Text Mining, Information Extraction and Data Quality for over a decade. More »
James Taylor is CEO and Principal Consultant at Decision Management Solutions and a leading expert in decision management. More »
SmartData Collective
- YOU
- Dean Abbott
- Teradata AusNZ
- Paul Barsch
- Meta S. Brown
- Jason Burke
- Gary Cokins
- Ted Cuzzillo
- Barry Devlin
- Chris Dixon
- Jill Dyché
- Timo Elliott
- Teradata EMEA
- Teradata Experts
- Michael Fauscette
- Bob Gourley
- Julie Hunt
- Doug Lautzenheiser
- Jack Mason
- Darryl McDonald
- Alex Olesker
- David Smith
- James Taylor
- Daniel Tunkelang
IFSUG Summit
When: Mon, 2012-03-05 08:00
Predictive Analytics World, March 4-10, 2012 San Francisco
When: Mon, 2012-03-05 09:00
Text Analytics World Topics & Case Studies – March 6-7, 2012 in San Francisco
When: Tue, 2012-03-06 09:00
Predictive Analytics for Business, Marketing and Web - 2012
When: Thu, 2012-03-22 09:00
Last chance to secure tickets for Masters of BI & DW Down Under Tour
When: Mon, 2012-03-26 08:00
Gartner Business Intelligence Summit
When: Mon, 2012-04-02 08:00
Predictive Analytics World, April 25-26, 2012 in Toronto
When: Wed, 2012-04-25 09:00
Sentiment Analysis Symposium
When: Tue, 2012-05-08 08:30
Salford Analytics and Data Mining Conference
When: Thu, 2012-05-24 12:09
Disruptive Technologies & Innovation Minds 2012
When: Mon, 2012-06-18 09:00

About Social Media Today


