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”
Tag: EC2
Cloud Computing with #Rstats and CloudNumbers.com
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 read the instructions
- I reviewed the pricing plan and click back to the dashboard
- I clicked on start new session
- I click next
- Choosing R from a very convenient interface design
- Choosing all the applications I may need
- This is a really nice feature in enabling to choose packages for R
- Finally I can choose ONLY 7.5 gb RAM in the free version
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
Amazon Ec2 goes Red Hat
message from Amazing Amazon’s cloud team- this will also help for #rstats users given that revolution Analytics full versions on RHEL.
—————————————————-
on-demand instances of Amazon EC2 running Red Hat Enterprise Linux (RHEL) for as little as $0.145 per instance hour. The offering combines the cost-effectiveness, scalability and flexibility of running in Amazon EC2 with the proven reliability of Red Hat Enterprise Linux.
Highlights of the offering include:
- Support is included through subscription to AWS Premium Support with back-line support by Red Hat
- Ongoing maintenance, including security patches and bug fixes, via update repositories available in all Amazon EC2 regions
- Amazon EC2 running RHEL currently supports RHEL 5.5, RHEL 5.6, RHEL 6.0 and RHEL 6.1 in both 32 bit and 64 bit formats, and is available in all Regions.
- Customers who already own Red Hat licenses will continue to be able to use those licenses at no additional charge.
- Like all services offered by AWS, Amazon EC2 running Red Hat Enterprise Linux offers a low-cost, pay-as-you-go model with no long-term commitments and no minimum fees.
For more information, please visit the Amazon EC2 Red Hat Enterprise Linux page.
which is
Amazon EC2 Running Red Hat Enterprise Linux
Amazon EC2 running Red Hat Enterprise Linux provides a dependable platform to deploy a broad range of applications. By running RHEL on EC2, you can leverage the cost effectiveness, scalability and flexibility of Amazon EC2, the proven reliability of Red Hat Enterprise Linux, and AWS premium support with back-line support from Red Hat.. Red Hat Enterprise Linux on EC2 is available in versions 5.5, 5.6, 6.0, and 6.1, both in 32-bit and 64-bit architectures.
Amazon EC2 running Red Hat Enterprise Linux provides seamless integration with existing Amazon EC2 features including Amazon Elastic Block Store (EBS), Amazon CloudWatch, Elastic-Load Balancing, and Elastic IPs. Red Hat Enterprise Linux instances are available in multiple Availability Zones in all Regions.
Pricing
Pay only for what you use with no long-term commitments and no minimum fee.
On-Demand Instances
On-Demand Instances let you pay for compute capacity by the hour with no long-term commitments.
Region:US – N. VirginiaUS – N. CaliforniaEU – IrelandAPAC – SingaporeAPAC – Tokyo
| Standard Instances | Red Hat Enterprise Linux |
|---|---|
| Small (Default) | $0.145 per hour |
| Large | $0.40 per hour |
| Extra Large | $0.74 per hour |
| Micro Instances | Red Hat Enterprise Linux |
| Micro | $0.08 per hour |
| High-Memory Instances | Red Hat Enterprise Linux |
| Extra Large | $0.56 per hour |
| Double Extra Large | $1.06 per hour |
| Quadruple Extra Large | $2.10 per hour |
| High-CPU Instances | Red Hat Enterprise Linux |
| Medium | $0.23 per hour |
| Extra Large | $0.78 per hour |
| Cluster Compute Instances | Red Hat Enterprise Linux |
| Quadruple Extra Large | $1.70 per hour |
| Cluster GPU Instances | Red Hat Enterprise Linux |
| Quadruple Extra Large | $2.20 per hour |
Pricing is per instance-hour consumed for each instance type. Partial instance-hours consumed are billed as full hours.
and
Available Instance Types
Standard Instances
Instances of this family are well suited for most applications.
Small Instance – default*
1.7 GB memory
1 EC2 Compute Unit (1 virtual core with 1 EC2 Compute Unit)
160 GB instance storage
32-bit platform
I/O Performance: Moderate
API name: m1.small
Large Instance
7.5 GB memory
4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each)
850 GB instance storage
64-bit platform
I/O Performance: High
API name: m1.large
Extra Large Instance
15 GB memory
8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each)
1,690 GB instance storage
64-bit platform
I/O Performance: High
API name: m1.xlarge
Micro Instances
Instances of this family provide a small amount of consistent CPU resources and allow you to burst CPU capacity when additional cycles are available. They are well suited for lower throughput applications and web sites that consume significant compute cycles periodically.
Micro Instance
613 MB memory
Up to 2 EC2 Compute Units (for short periodic bursts)
EBS storage only
32-bit or 64-bit platform
I/O Performance: Low
API name: t1.micro
High-Memory Instances
Instances of this family offer large memory sizes for high throughput applications, including database and memory caching applications.
High-Memory Extra Large Instance
17.1 GB of memory
6.5 EC2 Compute Units (2 virtual cores with 3.25 EC2 Compute Units each)
420 GB of instance storage
64-bit platform
I/O Performance: Moderate
API name: m2.xlarge
High-Memory Double Extra Large Instance
34.2 GB of memory
13 EC2 Compute Units (4 virtual cores with 3.25 EC2 Compute Units each)
850 GB of instance storage
64-bit platform
I/O Performance: High
API name: m2.2xlarge
High-Memory Quadruple Extra Large Instance
68.4 GB of memory
26 EC2 Compute Units (8 virtual cores with 3.25 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance: High
API name: m2.4xlarge
High-CPU Instances
Instances of this family have proportionally more CPU resources than memory (RAM) and are well suited for compute-intensive applications.
High-CPU Medium Instance
1.7 GB of memory
5 EC2 Compute Units (2 virtual cores with 2.5 EC2 Compute Units each)
350 GB of instance storage
32-bit platform
I/O Performance: Moderate
API name: c1.medium
High-CPU Extra Large Instance
7 GB of memory
20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance: High
API name: c1.xlarge
Cluster Compute Instances
Instances of this family provide proportionally high CPU resources with increased network performance and are well suited for High Performance Compute (HPC) applications and other demanding network-bound applications. Learn more about use of this instance type for HPC applications.
Cluster Compute Quadruple Extra Large Instance
23 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cc1.4xlarge
Cluster GPU Instances
Instances of this family provide general-purpose graphics processing units (GPUs) with proportionally high CPU and increased network performance for applications benefitting from highly parallelized processing, including HPC, rendering and media processing applications. While Cluster Compute Instances provide the ability to create clusters of instances connected by a low latency, high throughput network, Cluster GPU Instances provide an additional option for applications that can benefit from the efficiency gains of the parallel computing power of GPUs over what can be achieved with traditional processors. Learn more about use of this instance type for HPC applications.
Cluster GPU Quadruple Extra Large Instance
22 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
2 x NVIDIA Tesla “Fermi” M2050 GPUs
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cg1.4xlarge
Getting Started
To get started using Red Hat Enterprise Linux on Amazon EC2, perform the following steps:
- Open and log into the AWS Management Console
- Click on Launch Instance from the EC2 Dashboard
- Select the Red Hat Enterprise Linux AMI from the QuickStart tab
- Specify additional details of your instance and click Launch
- Additional details can be found on each AMI’s Catalog Entry page
The AWS Management Console is an easy tool to start and manage your instances. If you are looking for more details on launching an instance, a quick video tutorial on how to use Amazon EC2 with the AWS Management Console can be found here .
A full list of Red Hat Enterprise Linux AMIs can be found in the AWS AMI Catalog.
Support
All customers running Red Hat Enterprise Linux on EC2 will receive access to repository updates from Red Hat. Moreover, AWS Premium support customers can contact AWS to get access to a support structure from both Amazon and Red Hat.
Resources
- Red Hat solution provider page in EC2
- Red Hat Images in the Amazon Machine Image catalog
- Cloud Computing with Red Hat
About Red Hat
Red Hat, the world’s leading open source solutions provider, is headquartered in Raleigh, NC with over 50 satellite offices spanning the globe. Red Hat provides high-quality, low-cost technology with its operating system platform, Red Hat Enterprise Linux, together with applications, management and Services Oriented Architecture (SOA) solutions, including the JBoss Enterprise Middleware Suite. Red Hat also offers support, training and consulting services to its customers worldwide.
also from Revolution Analytics- in case you want to #rstats in the cloud and thus kill all that talk of RAM dependency, slow R than other softwares (just increase the RAM above in the instances to keep it simple)
,or Revolution not being open enough
http://www.revolutionanalytics.com/downloads/gpl-sources.php
GPL SOURCES
Revolution Analytics uses an Open-Core Licensing model. We provide open- source R bundled with proprietary modules from Revolution Analytics that provide additional functionality for our users. Open-source R is distributed under the GNU Public License (version 2), and we make our software available under a commercial license.
Revolution Analytics respects the importance of open source licenses and has contributed code to the open source R project and will continue to do so. We have carefully reviewed our compliance with GPLv2 and have worked with Mark Radcliffe of DLA Piper, the outside General Legal Counsel of the Open Source Initiative, to ensure that we fully comply with the obligations of the GPLv2.
For our Revolution R distribution, we may make some minor modifications to the R sources (the ChangeLog file lists all changes made). You can download these modified sources of open-source R under the terms of the GPLv2, using either the links below or those in the email sent to you when you download a specific version of Revolution R.
Download GPL Sources
| Product | Version | Platform | Modified R Sources |
| Revolution R Community | 3.2 | Windows | R 2.10.1 |
| Revolution R Community | 3.2 | MacOS | R 2.10.1 |
| Revolution R Enterprise | 3.1.1 | RHEL | R 2.9.2 |
| Revolution R Enterprise | 4.0 | Windows | R 2.11.1 |
| Revolution R Enterprise | 4.0.1 | RHEL | R 2.11.1 |
| Revolution R Enterprise | 4.1.0 | Windows | R 2.11.1 |
| Revolution R Enterprise | 4.2 | Windows | R 2.11.1 |
| Revolution R Enterprise | 4.2 | RHEL | R 2.11.1 |
| Revolution R Enterprise | 4.3 | Windows & RHEL | R 2.12.2 |
High Performance Analytics
Marry Big Data Analytics to High Performance Computing, and you get the buzzword of this season- High Performance Analytics.
It basically consists of Parallelized code to run in parallel on custom hardware, in -database analytics for speed, and cloud computing /high performance computing environments. On an operational level, it consists of software (as in analytics) partnering with software (as in databases, Map reduce, Hadoop) plus some hardware (HP or IBM mostly). It is considered a high margin , highly profitable, business with small number of deals compared to say desktop licenses.
As per HPC Wire- which is a great tool/newsletter to keep updated on HPC , SAS Institute has been busy on this front partnering with EMC Greenplum and TeraData (who also acquired SAS Partner AsterData to gain a much needed foot in the MR/SQL space) Continue reading “High Performance Analytics”
Zementis partners with R Analytics Vendor- Revo
Just got a PR email from Michael Zeller,CEO , Zementis annoucing Zementis (ADAPA) and Revolution Analytics just partnered up.
Is this something substantial or just time-sharing http://bi.cbronline.com/news/sas-ceo-says-cep-open-source-and-cloud-bi-have-limited-appeal or a Barney Partnership (http://www.dbms2.com/2008/05/08/database-blades-are-not-what-they-used-to-be/)
Summary- Thats cloud computing scoring of models on EC2 (Zementis) partnering with the actual modeling software in R (Revolution Analytics RevoDeployR)
See previous interviews with both Dr Zeller at https://decisionstats.com/2009/02/03/interview-michael-zeller-ceozementis/ ,https://decisionstats.com/2009/05/07/interview-ron-ramos-zementis/ and https://decisionstats.com/2009/10/05/interview-michael-zellerceo-zementis-on-pmml/)
and Revolution guys at https://decisionstats.com/2010/08/03/q-a-with-david-smith-revolution-analytics/
and https://decisionstats.com/2009/05/29/interview-david-smith-revolution-computing/
–
strategic partnership with Revolution Analytics, the leading commercial provider of software and support for the popular open source R statistics language. With this partnership, predictive models developed on Revolution R Enterprise are now accessible for real-time scoring through the ADAPA Decisioning Engine by Zementis. ADAPA is an extremely fast and scalable predictive platform. Models deployed in ADAPA are automatically available for execution in real-time and batch-mode as Web Services. ADAPA allows Revolution R Enterprise to leverage the Predictive Model Markup Language (PMML) for better decision management. With PMML, models built in R can be used in a wide variety of real-world scenarios without requiring laborious or expensive proprietary processes to convert them into applications capable of running on an execution system.
“By partnering with Zementis, Revolution Analytics is building an end-to-end solution for moving enterprise-level predictive R models into the execution environment,” said Jeff Erhardt, Revolution Analytics Chief Operation Officer. “With Zementis, we are eliminating the need to take R applications apart and recode, retest and redeploy them in order to obtain desirable results.”
Got demo? Yes, we do! Revolution Analytics and Zementis have put together a demo which combines the building of models in R with automatic deployment and execution in ADAPA. It uses Revolution Analytics’ RevoDeployR, a new Web Services framework that allows for data analysts working in R to publish R scripts to a server-based installation of Revolution R Enterprise.
Action Items:
- Try our INTERACTIVE DEMO
- DOWNLOAD the white paper
- Try the ADAPA FREE TRIAL
RevoDeployR & ADAPA allow for real-time analysis and predictions from R to be effectively used by existing Excel spreadsheets, BI dashboards and Web-based applications, all in real-time.
Predictive analytics with RevoDeployR from Revolution Analytics and ADAPA from Zementis put model building and real-time scoring into a league of their own. Seriously!
Related Articles
- Revolution R Enterprise 4.2 now available (revolutionanalytics.com)
- Enterprise Startup Spotlight: Revolution Analytics, Taking on SAS, SPSS (readwriteweb.com)
- Gartner predicts business intelligence revolution (v3.co.uk)
The Year 2010
My annual traffic to this blog was almost 99,000 . Add in additional views on networking sites plus the 400 plus RSS readers- so I can say traffic was 1,20,000 for 2010. Nice. Thanks for reading and hope it was worth your time. (this is a long post and will take almost 440 secs to read but the summary is just given)
My intent is either to inform you, give something useful or atleast something interesting.
see below-
| Jan | Feb | Mar | Apr | May | Jun | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 6,311 | 4,701 | 4,922 | 5,463 | 6,493 | 4,271 |
| Jul | Aug | Sep | Oct | Nov | Dec | Total |
|---|
| 5,041 | 5,403 | 17,913 | 16,430 | 11,723 | 10,096 | 98,767 |
Sandro Saita from http://www.dataminingblog.com/ just named me for an award on his blog (but my surname is ohRi , Sandro left me without an R- What would I be without R :)) ).
Aw! I am touched. Google for “Data Mining Blog” and Sandro is the best that it is in data mining writing.
”
DMR People Award 2010
There are a lot of active people in the field of data mining. You can discuss with them on forums. You can read their blogs. You can also meet them in events such as PAW or KDD. Among the people I follow on a regular basis, I have elected:Ajay Ori
He has been very active in 2010, especially on his blog . Good work Ajay and continue sharing your experience with us!”
What did I write in 2010- stuff.
What did you read on this blog- well thats the top posts list.
2009-12-31 to Today
So how do people come here –
well I guess I owe Tal G for almost 9000 views ( incidentally I withdrew posting my blog from R- Bloggers and Analyticbridge blogs – due to SEO keyword reasons and some spam I was getting see (below))
http://r-bloggers.com is still the CAT’s whiskers and I read it a lot.
I still dont know who linked my blog to a free sex movie site with 400 views but I have a few suspects.
2009-12-31 to Today
| Referrer | Views |
|---|---|
 r-bloggers.com |
9,131 |
 Reddit |
3,829 |
| rattle.togaware.com |
1,500 |
 Twitter |
1,254 |
 Google Reader |
1,215 |
| linkedin.com |
717 |
| freesexmovie.irwanaf.com |
422 |
| analyticbridge.com |
341 |
 Google |
327 |
| coolavenues.com |
322 |
 Facebook |
317 |
| kdnuggets.com |
298 |
| dataminingblog.com |
278 |
 en.wordpress.com |
185 |
| google.co.in |
151 |
 xianblog.wordpress.com |
130 |
| inside-r.org |
124 |
| decisionstats.com |
119 |
| ifreestores.com |
117 |
| bits.blogs.nytimes.com |
108 |
–
Still reading this post- gosh let me sell you some advertising. It is only $100 a month (yes its a recession)
Advertisers are treated on First in -Last out (FILO)
I have been told I am obsessed with SEO , but I dont care much for search engines apart from Google, and yes SEO is an interesting science (they should really re name it GEO or Google Engine Optimization)
Apparently Hadley Wickham and Donald Farmer are big keywords for me so I should be more respectful I guess.
Search Terms for 365 days ending 2010-12-31 (Summarized)
2009-12-31 to Today
| Search | Views |
|---|---|
| libre office | 925 |
| facebook analytics | 798 |
| test drive a chrome notebook | 467 |
| test drive a chrome notebook. | 215 |
| r gui | 203 |
| data mining | 163 |
| wps sas lawsuit | 158 |
| wordle.net | 133 |
| wps sas | 123 |
| google maps jet ski | 123 |
| test drive chrome notebook | 96 |
| sas wps | 89 |
| sas wps lawsuit | 85 |
| chrome notebook test drive | 83 |
| decision stats | 83 |
| best statistics software | 74 |
| hadley wickham | 72 |
| google maps jetski | 72 |
| libreoffice | 70 |
| doug savage | 65 |
| hive tutorial | 58 |
| funny india | 56 |
| spss certification | 52 |
| donald farmer microsoft | 51 |
| best statistical software | 49 |
What about outgoing links? Apparently I need to find a way to ask Google to pay me for the free advertising I gave their chrome notebook launch. But since their search engine and browser is free to me, guess we are even steven.
Clicks for 365 days ending 2010-12-31 (Summarized)
2009-12-31 to Today
so in 2010,
SAS remained top daddy in business analytics,
R made revolutionary strides in terms of new packages,
JMP launched a new version,
SPSS got integrated with Cognos,
Oracle sued Google and did build a great Data Mining GUI,
Libre Office gave you a non Oracle Open office ( or open even more office)
2011 looks like a fun year. Have safe partying .
Related Articles
- IBM SPSS 19 Now Available to the Global Academic Community via e-academy’s OnTheHub eStore (prweb.com)
- ACM Data Mining Camp 3 (revolutionanalytics.com)
- Accessing R from Python using RPy2 (r-bloggers.com)
- Mining of Massive Data Sets (kinlane.com)
- 5 FeedBurner Alternatives You Should Know About (techie-buzz.com)
- Uncertainty, Risk, Statistics and Data Mining (zyxo.wordpress.com)
- ‘Data Mining’ Gains Traction in Education (edreformer.com)
- If you cut your RSS short I will ignore your post (chrisabraham.com)
- Solar trends for 2011 (cleanbreak.ca)
2011 Forecast-ying
I had recently asked some friends from my Twitter lists for their take on 2011, atleast 3 of them responded back with the answer, 1 said they were still on it, and 1 claimed a recent office event.
Anyways- I take note of the view of forecasting from
http://www.uiah.fi/projekti/metodi/190.htm
The most primitive method of forecasting is guessing. The result may be rated acceptable if the person making the guess is an expert in the matter.
Ajay- people will forecast in end 2010 and 2011. many of them will get forecasts wrong, some very wrong, but by Dec 2011 most of them would be writing forecasts on 2012. almost no one will get called on by irate users-readers- (hey you got 4 out of 7 wrong last years forecast!) just wont happen. people thrive on hope. so does marketing. in 2011- and before
and some forecasts from Tom Davenport’s The International Institute for Analytics (IIA) at
http://iianalytics.com/2010/12/2011-predictions-for-the-analytics-industry/
Regulatory and privacy constraints will continue to hamper growth of marketing analytics.
(I wonder how privacy and analytics can co exist in peace forever- one view is that model building can use anonymized data suppose your IP address was anonymized using a standard secret Coco-Cola formula- then whatever model does get built would not be of concern to you individually as your privacy is protected by the anonymization formula)
Anyway- back to the question I asked-
What are the top 5 events in your industry (events as in things that occured not conferences) and what are the top 3 trends in 2011.
I define my industry as being online technology writing- research (with a heavy skew on stat computing)
My top 5 events for 2010 were-
1) Consolidation- Big 5 software providers in BI and Analytics bought more, sued more, and consolidated more. The valuations rose. and rose. leading to even more smaller players entering. Thus consolidation proved an oxy moron as total number of influential AND disruptive players grew.
2) Cloudy Computing- Computing shifted from the desktop but to the mobile and more to the tablet than to the cloud. Ipad front end with Amazon Ec2 backend- yup it happened.
3) Open Source grew louder- yes it got more clients. and more revenue. did it get more market share. depends on if you define market share by revenues or by users.
Both Open Source and Closed Source had a good year- the pie grew faster and bigger so no one minded as long their slices grew bigger.
4) We didnt see that coming –
Technology continued to surprise with events (thats what we love! the surprises)
Revolution Analytics broke through R’s Big Data Barrier, Tableau Software created a big Buzz, Wikileaks and Chinese FireWalls gave technology an entire new dimension (though not universally popular one).
people fought wars on emails and servers and social media- unfortunately the ones fighting real wars in 2009 continued to fight them in 2010 too
5) Money-
SAP,SAS,IBM,Oracle,Google,Microsoft made more money than ever before. Only Facebook got a movie named on itself. Venture Capitalists pumped in money in promising startups- really as if in a hurry to park money before tax cuts expired in some countries.
2011 Top Three Forecasts
1) Surprises- Expect to get surprised atleast 10 % of the time in business events. As internet grows the communication cycle shortens, the hype cycle amplifies buzz-
more unstructured data is created (esp for marketing analytics) leading to enhanced volatility
2) Growth- Yes we predict technology will grow faster than the automobile industry. Game changers may happen in the form of Chrome OS- really its Linux guys-and customer adaptability to new USER INTERFACES. Design will matter much more in technology on your phone, on your desktop and on your internet. Packaging sells.
False Top Trend 3) I will write a book on business analytics in 2011. yes it is true and I am working with A publisher. No it is not really going to be a top 3 event for anyone except me,publisher and lucky guys who read it.
3) Creating technology and technically enabling creativity will converge at an accelerated rate. use of widgets, guis, snippets, ide will ensure creative left brains can code easier. and right brains can design faster and better due to a global supply chain of techie and artsy professionals.
Related Articles
- Google Chrome OS Hardware Vanishes In The Cloud (informationweek.com)
- Google’s Chrome OS notebook gets unboxed, prodded, and praised (linuxfordevices.com)
- Why we removed the WikiLeaks visualizations | Tableau Software (tableausoftware.com)
- Tableau Software Adds In-Memory Database Engine (customerthink.com)
- Sales Forecasting Methods & Models (thinkup.waldenu.edu)
- Revolution Analytics Introduces Enterprise-Class Application Integration, Deployment & Administration for R (eon.businesswire.com)
- HTC estimates it will ship 60 million handsets in 2011 [TNW Mobile] (thenextweb.com)
- Lexalytics Predicts State of Text and Sentiment Analysis Market 2011 (prweb.com)
- Social Business Forecast: 2011 The Year of Integration (e1evation.com)
- Forecast: iPad share of Net traffic to double in a year (news.cnet.com)
DECISION STATS 