Some ways to test and use cloud computing for free for yourself-
- Windows Azure
- Amazon Ec2
- Google Storage
The folks at Microsoft Azure announced a 90 day free trial Continue reading “Cloud Computing by Windows , Amazon and Google for free”
Some ways to test and use cloud computing for free for yourself-
The folks at Microsoft Azure announced a 90 day free trial Continue reading “Cloud Computing by Windows , Amazon and Google for free”
You can go to https://code.google.com/apis/console/b/0/
Unlike Android and other free stuff these APIs are very promising for revenue generation as some of them are very unique to Google itself, and already some are being offered on a Pricing Tier. There are 18 APIs in total with 3 APIs having Pricing while the rest are in beta stages.
I am just listing down all the APIs in one place – Continue reading “Google APIs”
Some of you know that I am due to finish “R for Business Analytics” for Springer by Dec 2011 and “R for Cloud Computing” by Dec 2012. Accordingly while I am busy crunching out ” R for Business Analytics” which is a corporate business analyst\s view on using #Rstats, I am gathering material for the cloud computing book too.
I have been waiting for someone like CloudNumbers.com for some time now, and I like their initial pricing structure. As scale picks up, this should only get better. As a business Intelligence analyst, I wonder if they can help set up a dedicated or private cloud too for someone who wants a data mart solution to be done.The best thing I like about this- they have a referral scheme so if someone you know wants to test it out, well it gives you some freebies too in the form of an invitation code.
I name the session in case I want to start multiple sessions
After waiting 15 minutes, my instance is up and I type R to get the following
Note I can also see the desktop- which is a great improvement over EC2 interface for R Cloud computing on Linux. Also it shuts down on its own if I leave it running (as of now after 180 minutes) so i click shut down session
You can click this link to try and get your own cloud in the sky for free -10 hours are free for you
https://my.cloudnumbers.com/register/65E97A
From http://www.sas.com/events/analytics/us/
The Analytics 2011 Conference Series combines the power of SAS’s M2010 Data Mining Conference and F2010 Business Forecasting Conference into one conference covering the latest trends and techniques in the field of analytics. Analytics 2011 Conference Series brings the brightest minds in the field of analytics together with hundreds of analytics practitioners. Join us as these leading conferences change names and locations. At Analytics 2011, you’ll learn through a series of case studies, technical presentations and hands-on training. If you are in the field of analytics, this is one conference you can’t afford to miss.
October 24-25, 2011
Grande Lakes Resort
Orlando, FL
Here is an announcement from Predictive Analytics World, the worlds largest vendor neutral conference dedicated to Predictive Analytics alone. Decisionstats has been a blog partner of PAWCON since inception. This is cool stuff!
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message from Predictive Analytics World. If you are NY based you may want to drop in and listen.———————————————————————————-Tom Davenport to Keynote at
Predictive Analytics World New York
Take advantage of Super Early Bird Pricing by May 20th and recognize savings of $400. Additional savings when you bring the team*
Join your peers October 17-21, 2011 at the Hilton New York for Predictive Analytics World, the business event for predictive analytics professionals, managers and commercial practitioners, covering today’s commercial deployment of predictive analytics, across industries and across software vendors. |
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| RAVE REVIEWS:“I came to PAW because it provides case studies relevant to my industry. It has lived up to the expectation and I think it’s the best analytics conference I’ve ever attended!“
Shaohua Zhang, Senior Data Mining Analyst
Rogers Telecommunications “Hands down, best applied analytics conference I have ever attended. Great exposure to cutting-edge predictive techniques and I was able to turn around and apply some of those learnings to my work immediately. I’ve never been able to say that after any conference I’ve attended before!” Jon Francis, Senior Statistician
T-Mobile PAW NYC’s agenda covers black box trading, churn modeling, crowdsourcing, demand forecasting, ensemble models, fraud detection, healthcare, insurance applications, law enforcement, litigation, market mix modeling, mobile analytics, online marketing, risk management, social data, supply chain management, targeting direct marketing, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways. Take advantage of Super Early Bird Pricing and realize Note: Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass. |
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However this is what Phil Rack the reseller is quoting on http://www.minequest.com/Pricing.html
Windows Desktop Price: $884 on 32-bit Windows and $1,149 on 64-bit Windows.
The Bridge to R is available on the Windows platforms and is available for free to customers who
license WPS through MineQuest,LLC. Companies and organizations outside of North America
may purchase a license for the Bridge to R which starts at $199 per desktop or $599 per serverWindows Server Price: $1,903 per logical CPU for 32-bit and $2,474 for 64-bit.
Note that Linux server versions are available but do not yet support the Eclipse IDE and are
command line only
WPS sure seems going well-but their pricing is no longer fixed and on the home website, you gotta fill a form. Ditt0 for the 30 day free evaluation
http://www.teamwpc.co.uk/products/wps/modules/core
The table below provides a summary of data formats presently supported by the WPS Core module.
| Data File Format | Un-Compressed Data |
Compressed Data |
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|---|---|---|---|---|
| Read | Write | Read | Write | |
| SD2 (SAS version 6 data set) | ![]() |
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| SAS7BDAT (SAS version 7 data set) | ![]() |
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| SAS7BDAT (SAS version 8 data set) | ![]() |
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| SAS7BDAT (SAS version 9 data set) | ![]() |
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| SASSEQ (SAS version 8/9 sequential file) | ![]() |
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| V8SEQ (SAS version 8 sequential file) | ![]() |
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| V9SEQ (SAS version 9 sequential file) | ![]() |
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| WPD (WPS native data set) | ![]() |
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| WPDSEQ (WPS native sequential file) | ![]() |
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| XPORT (transport format) | ![]() |
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Additional access to EXCEL, SPSS and dBASE files is supported by utilising the WPS Engine for DB Filesmodule.
and they have a new product release on Valentine Day 2011 (oh these Europeans!)
From the press release at http://www.teamwpc.co.uk/press/wps2_5_1_released
WPS Version 2.5.1 Released
New language support, new data engines, larger datasets, improved scalabilityLONDON, UK – 14 February 2011 – World Programming today released version 2.5.1 of their WPS software for workstations, servers and mainframes.
WPS is a competitively priced, high performance, highly scalable data processing and analytics software product that allows users to execute programs written in the language of SAS. WPS is supported on a wide variety of hardware and operating system platforms and can connect to and work with many types of data with ease. The WPS user interface (Workbench) is frequently praised for its ease of use and flexibility, with the option to include numerous third-party extensions.
This latest version of the software has the ability to manipulate even greater volumes of data, removing the previous 2^31 (2 billion) limit on number of observations.
Complimenting extended data processing capabilities, World Programming has worked hard to boost the performance, scalability and reliability of the WPS software to give users the confidence they need to run heavy workloads whilst delivering maximum value from available computer power.
WPS version 2.5.1 offers additional flexibility with the release of two new data engines for accessing Greenplum and SAND databases. WPS now comes with eleven data engines and can access a huge range of commonly used and industry-standard file-formats and databases.
Support in WPS for the language of SAS continues to expand with more statistical procedures, data step functions, graphing controls and many other language items and options.
WPS version 2.5.1 is available as a free upgrade to all licensed users of WPS.
Summary of Main New Features:
- Supporting Even Larger Datasets
WPS is now able to process very large data sets by lifting completely the previous size limit of 2^31 observations.- Performance and Scalability Boosted
Performance and scalability improvements across the board combine to ensure even the most demanding large and concurrent workloads are processed efficiently and reliably.- More Language Support
WPS 2.5.1 continues the expansion of it’s language support with over 70 new language items, including new Procedures, Data Step functions and many other language items and options.- Statistical Analysis
The procedure support in WPS Statistics has been expanded to include PROC CLUSTER and PROC TREE.- Graphical Output
The graphical output from WPS Graphing has been expanded to accommodate more configurable graphics.- Hash Tables
Support is now provided for hash tables.- Greenplum®
A new WPS Engine for Greenplum provides dedicated support for accessing the Greenplum database.- SAND®
A new WPS Engine for SAND provides dedicated support for accessing the SAND database.- Oracle®
Bulk loading support now available in the WPS Engine for Oracle.- SQL Server®
To enhance existing SQL Server database access, a new SQLSERVR (please note spelling) facility in the ODBC engine.More Information:
Existing Users should visit www.teamwpc.co.uk/support/wps/release where you can download a readme file containing more information about all the new features and fixes in WPS 2.5.1.
New Users should visit www.teamwpc.co.uk/products/wps where you can explore in more detail all the features available in WPS or request a free evaluation.
and from http://www.teamwpc.co.uk/products/wps/data it seems they are going on the BIG DATA submarine as well-
WPS is now able to handle extremely large data sets now that the previous limit of 2^31 observations has been lifted.