Talk on PMML and Predictive Analytics to the ACM Data Mining Bay Area/SF group at the LinkedIn auditorium in Sunnyvale, CA.
Data mining scientists work hard to analyze historical data and to build the best predictive solutions out of it. IT engineers, on the other hand, are usually responsible for bringing these solutions to life, by recoding them into a format suitable for operational deployment. Given that data mining scientists and engineers…
Added by Alex Guazzelli on October 2, 2012 at 8:12am — No Comments
Added by Michael Walker on September 26, 2012 at 10:00am — No Comments
The goal is to design and build a data warehouse / business intelligence (BI) architecture that provides a flexible, multi-faceted analytical ecosystem for each unique organization.
A traditional BI architecture has analytical processing first pass through a data warehouse.
In the new, modern BI architecture, data reaches users…Continue
Added by Michael Walker on September 12, 2012 at 11:53am — No Comments
Copyright © SAS Institute Inc., Cary, NC, USA. All Rights Reserved. Used with permission.
Optimization answers the question: How do we do things better? What is the…Continue
Companies, products, and technologies included in the Big Data Landscape:
Added by Michael Walker on August 30, 2012 at 2:58pm — No Comments
The Hadoop stack includes more than a dozen components, or subprojects, that are complex to deploy and manage. Installation, configuration and production deployment at scale is challenging.
The main components…Continue
Added by Michael Walker on August 22, 2012 at 9:40am — No Comments
Today Analytics is the heart of a Business. Companies are challenged with a high volume and broad array of data which requires active and effective analysis. Analysis can help them make enhanced and improved business decisions, and hence help the business to maintain profitability. "Companies need to compete on the basis of key business processes, and how they optimize these processes with analytics," says Thomas Davenport, professor and director of research, Babson College, USA. Business…Continue
Added by AcademyForDecisionScience&Analyt on August 16, 2012 at 1:40am — No Comments
A Big Data decision support system requires particular capabilities in terms of volume, variety of data and processing speed.
Today companies to improve their knowledge models and forecasts, do not hesitate to take into account hundreds of factors, and do not hesitate to bring up new means of analysis that can handle large volumes of data. But the processing of large volumes of data is a challenge for traditional BI infrastructure. Storing large volumes is not a problem, but…
Added by Michel Bruley on July 31, 2012 at 11:03pm — No Comments
There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.
On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:
Added by Neil Raden on June 27, 2012 at 10:00am — No Comments
Several members of the Talent Analytics team had the opportunity to attend Teradata's Big Analytics Conference in Boston on May 22. With a great speaker lineup, the educational and networking event offered both a technical and digital marketing track that covered the latest advancements across the big analytics ecosystem and highlighted how data-driven products and…Continue
Added by Mike Kennedy on May 28, 2012 at 4:30am — No Comments
Recently, I’ve been feeling like I’ve stepped through a looking glass to another similar-but-very-different world. I’m steeped in 20+ years in corporate data warehousing and business intelligence practice. Throughout that time, there have been big and small technology improvements, but nothing truly disruptive (although new…Continue
Added by Stan Mason on April 13, 2012 at 8:30am — No Comments
“Firestorm” Supercomputer to Help Maximize Turbine Performance
IBM big data analytics software and powerful IBM systems to improve wind turbine placement for optimal energy output. Turbine placement is a major challenge for the renewable energy industry, and Vestas expects to accelerate the adoption of wind energy internationally and expand its business into new markets by overcoming this challenge.
Read more here: …Continue
Added by Stan Mason on April 10, 2012 at 12:30pm — No Comments
So the question is…when do you sample and when do you not? And does it even matter anymore in the world of big data?
As I’ll lay out here, in most cases today there is no point in wasting energy worrying about it. As long as a few basic criteria are met, do whatever you prefer.
First, let’s take care of the cases where sampling just won’t work. If you need to find the top 100 spending customers, you can’t do that with a sample. You’ll have to look at…Continue
The smart grid is leading the power industry into a data and analytics boom as its implementation phase gives way to its value phase, according to Christine Richards, senior analyst with Energy Central's Utility Analytics Institute.
Richards defined the decade from 2000 to 2010 as the smart grid's development phase, the five-year period from 2007 to 2012 as the infrastructure, or implementation phase and the decade from 2010 to 2020 as the value phase.
In the value phase, grid…Continue
Added by Stan Mason on January 4, 2012 at 8:17am — No Comments
Jaspersoft announced a second-generation native connector to MongoDB, an open source database. 10gen, the company behind MongoDB, and Jaspersoft have teamed together to deliver an enhanced tool for companies to provide easier reporting, analytics, and visualization of Big Data. Jaspersoft is a sponsor of the upcoming MongoSV, to be held in Santa Clara CA today, December 9, 2011 and will be showcasing the combined solution there.
Building on the popularity of the first generation…Continue
Added by Stan Mason on December 9, 2011 at 7:00am — No Comments