Tag: Android

Linux= Who did what and how much?

A report distributed under Creative Commons 3 and available at

That shows Canonical — the commercial arm of Ubuntu — has contributed only about one percent of the code to the GNOME desktop for Linux. while Red Hat accounts for 17 percent of the code and Novell developers are responsible for about 11 percent. That prompted some heartburn from Mark, creator- founder Cannonical/ Ubuntu at http://www.markshuttleworth.com/archives/517

And it would be a very different story if it weren’t for the Mozilla folks and Netscape before them, and GNOME and KDE, and Google and everyone else who have exercised that stack in so many different ways, making it better along the way. There are tens of thousands of people who are not in any way shape or form associated with Ubuntu, who make this story real. Many of them have been working at it for more than a decade – it takes a long time to make an overnight success :) while Ubuntu has only been on the scene six years. So Ubuntu cannot be credited solely for the delight of its users.

Nevertheless, the Ubuntu Project does bring something unique, special and important to free software: a total commitment to everyday users and use cases, the idea that free software should be “for everyone” both economically and in ease of use, and a willingness to chase down the problems that stand between here and there. I feel that commitment is a gift back to the people who built every one of those packages. If we can bring free software to ten times the audience, we have amplified the value of your generosity by a factor of ten, we have made every hour spent fixing an issue or making something amazing, ten times as valuable. I’m very proud to be spending the time and energy on Ubuntu that I do. Yes, I could do many other things, but I can’t think of another course which would have the same impact on the world.

I recognize that not everybody will feel the same way. Bringing their work to ten times the audience without contributing features might just feel like leeching, or increasing the flow of bug reports 10x. I suppose you could say that no matter how generous we are to downstream users, if upstream is only measuring code, then any generosity other than code won’t be registered. I don’t really know what to do about that – I didn’t found Ubuntu as a vehicle for getting lots of code written, that didn’t seem to me to be what the world needed.

Open source communities work like democracies with all noise whereas R and D within corporates have a stricter hierarchy. Still for all that – Ubuntu and Android have made Linux mainstream just as R has made statistical software available to all.

And Ubuntu also has great support for R (particularly the single click R Commander Install and Icon) available at http://packages.ubuntu.com/lucid/math/r-cran-rcmdr

Trrrouble in land of R…and Open Source Suggestions

Recently some comments by Ross Ihake , founder of R Statistical Software on Revolution Analytics, leading commercial vendor of R….. came to my attention-

http://www.stat.auckland.ac.nz/mail/archive/r-downunder/2010-May/000529.html

[R-downunder] Article on Revolution Analytics

Ross Ihaka ihaka at stat.auckland.ac.nz
Mon May 10 14:27:42 NZST 2010

On 09/05/10 09:52, Murray Jorgensen wrote:
> Perhaps of interest:
>
> http://www.theregister.co.uk/2010/05/06/revolution_commercial_r/

Please note that R is "free software" not "open source".  These guys
are selling a GPLed work without disclosing the source to their part
of the work. I have complained to them and so far they have given me
the brush off. I am now considering my options.

Don't support these guys by buying their product. The are not feeding
back to the rights holders (the University of Auckland and I are rights
holders and they didn't even have the courtesy to contact us).

--
Ross Ihaka                         Email:  ihaka at stat.auckland.ac.nz
Department of Statistics           Phone:  (64-9) 373-7599 x 85054
University of Auckland             Fax:    (64-9) 373-7018
Private Bag 92019, Auckland
New Zealand
and from http://www.theregister.co.uk/2010/05/06/revolution_commercial_r/
Open source purists probably won't be all too happy to learn that Revolution is going to be employing an "open core" strategy, which means the core R programs will remain open source and be given tech support under a license model, but the key add-ons that make R more scalable will be closed source and sold under a separate license fee. Because most of those 2,500 add-ons for R were built by academics and Revolution wants to supplant SPSS and SAS as the tools used by students, Revolution will be giving the full single-user version of the R Enterprise stack away for free to academics. 
Conclusion-
So one co-founder of R is advocating not to buy from Revolution Analytics , which has the other co-founder of R, Gentleman on its board. 
Source- http://www.revolutionanalytics.com/aboutus/leadership.php

2) If Revolution Analytics is using 2500 packages for free but insisting on getting paid AND closing source of it’s packages (which is a technical point- how exactly can you prevent source code of a R package from being seen)

Maybe there can be a PACKAGE marketplace just like Android Apps, Facebook Apps, and Salesforce.com Apps – so atleast some of the thousands of R package developers can earn – sorry but email lists do not pay mortgages and no one is disputing the NEED for commercializing R or rewarding developers.

Though Barr created SAS, he gave up control to Goodnight and Sall https://decisionstats.wordpress.com/2010/06/02/sas-early-days/

and Goodnight and Sall do pay their developers well- to the envy of not so well paid counterparts.

3) I really liked the innovation of Revolution Analytics RevoScalar, and I wish that the default R dataset be converted to XDF dataset so that it basically kills

off the R criticism of being slow on bigger datasets. But I also realize the need for creating an analytics marketplace for R developers and R students- so academic version of R being free and Revolution R being paid seems like a trade off.

Note- You can still get a job faster as a stats student if you mention SAS and not R as a statistical skill- not all stats students go into academics.

4) There can be more elegant ways of handling this than calling for ignoring each other as REVOLUTION and Ihake seem to be doing to each other.

I can almost hear people in Cary, NC chuckling at Norman Nie, long time SPSS opponent and now REVOLUTION CEO, and his antagonizing R’s academicians within 1 year of taking over- so I hope this ends well for all. The road to hell is paved with good intentions- so if REVOLUTION can share some source code with say R Core members (even Microsoft shares source code with partners)- and R Core and Revolution agree on a licensing royalty from each other, they can actually speed up R package creation rather than allow this 2 decade effort to end up like S and S plus and TIBCO did.

Maybe Richard Stallman can help-or maybe Ihaka has a better sense of where things will go down in a couple of years-he must know something-he invented it, didnt he

On 09/05/10 09:52, Murray Jorgensen wrote:
> Perhaps of interest:
>
> http://www.theregister.co.uk/2010/05/06/revolution_commercial_r/

Please note that R is "free software" not "open source".  These guys
are selling a GPLed work without disclosing the source to their part
of the work. I have complained to them and so far they have given me
the brush off. I am now considering my options.

Don't support these guys by buying their product. The are not feeding
back to the rights holders (the University of Auckland and I are rights
holders and they didn't even have the courtesy to contact us).

--
Ross Ihaka                         Email:  ihaka at stat.auckland.ac.nz
Department of Statistics           Phone:  (64-9) 373-7599 x 85054
University of Auckland             Fax:    (64-9) 373-7018
Private Bag 92019, Auckland
New Zealand

Google AppInventor -Android and Business Intelligence

Here is a great new tool for techies to start creating Android Apps right away- even if you have no knowledge of the platform. Of course there are existing great number of apps- including my favorite Android Data Mining App in R – called AnalyticDroid http://analyticdroid.togaware.com/

Basically it calls the Rattle (R Analytical Tool To Learn Easily) Data Mining GUI -enabling data mining from an Android Mobile using remote computing.

I dont know if any other statistical application is available on Android Mobiles- though SAS did have a presentation on using SAS on IPhone

http://www.wuss.org/proceedings09/09WUSSProceedings/papers/dpr/DPR-Truong.pdf



SAS Mobile -Iphone App

All you need to do is go to http://appinventor.googlelabs.com/about/index.html and request access (yes there is a 2 week approval waiting line)

Because App Inventor provides access to a GPS-location sensor, you can build apps that know where you are. You can build an app to help you remember where you parked your car, an app that shows the location of your friends or colleagues at a concert or conference, or your own custom tour app of your school, workplace, or a museum.
You can write apps that use the phone features of an Android phone. You can write an app that periodically texts “missing you” to your loved ones, or an app “No Text While Driving” that responds to all texts automatically with “sorry, I’m driving and will contact you later”. You can even have the app read the incoming texts aloud to you (though this might lure you into responding).
App Inventor provides a way for you to communicate with the web. If you know how to write web apps, you can use App Inventor to write Android apps that talk to your favorite web sites, such as Amazon and Twitter.

Here is a not so statistical Android App I am trying to create called Hang-Out

using the current GPS location of your phone to find nearest Pub, Movie or Diner and catch Bus- Train based on your location city, the GPS and time of request and schedule of those cities public transport- very much WIP

MapReduce Analytics Apps- AsterData's Developer Express Plugin

AsterData continues to wow with it’s efforts on bridging MapReduce and Analytics, with it’s new Developer Express plug-in for Eclipse. As any Eclipse user knows, that greatly improves ability to write code or develop ( similar to creating Android apps if you have tried to). I did my winter internship at AsterData last December last year in San Carlos, and its an amazing place with giga-level bright people.

Here are some details ( Note I plan to play a bit more on the plugin on my currently downUbuntu on this and let you know)

http://marketplace.eclipse.org/content/aster-data-developer-express-plug-eclipse

Aster Data Developer Express provides an integrated set of tools for development of SQL and MapReduce analytics for Aster Data nCluster, a massively parallel database with an integrated analytics engine.

The Aster Data Developer Express plug-in for Eclipse enables developers to easily create new analytic application projects with the help of an intuitive set of wizards, immediately test their applications on their desktop, and push down their applications into the nCluster database with a single click.

Using Developer Express, analysts can significantly reduce the complexity and time needed to create advanced analytic applications so that they can more rapidly deliver deeper and richer analytic insights from their data.

and from the Press Release

Now, any developer or analyst that is familiar with the Java programming language can complete a rich analytic application in under an hour using the simple yet powerful Aster Data Developer Express environment in Eclipse. Aster Data Developer Express delivers both rapid development and local testing of advanced analytic applications for any project, regardless of size.

The free, downloadable Aster Data Developer Express IDE now brings the power of SQL-MapReduce to any organization that is looking to build richer analytic applications that can leverage massive data volumes. Much of the MapReduce coding, including programming concepts like parallelization and distributed data analysis, is addressed by the IDE without the developer or analyst needing to have expertise in these areas. This simplification makes it much easier for developers to be successful quickly and eliminates the need for them to have any deep knowledge of the MapReduce parallel processing framework. Google first published MapReduce in 2004 for parallel processing of big data sets. Aster Data has coupled SQL with MapReduce and brought SQL-MapReduce to market, making it significantly easier for any organization to leverage the power of MapReduce. The Aster Developer Express IDE simplifies application development even further with an intuitive point-and-click development environment that speeds development of rich analytic applications. Applications can be validated locally on the desktop or ultimately within Aster Data nCluster, a massive parallel processing (MPP) database with a fully integrated analytics engine that is powered by MapReduce—known as a data-analytics server.

Rich analytic applications that can be easily built with Aster Data’s downloadable IDE include:

Iterative Analytics: Uncovering critical business patterns in your data requires hypothesis-driven, iterative analysis.  This class of applications is defined by the exploratory navigation of massive volumes of data in a top-down, deductive manner.  Aster Data’s IDE makes this easy to develop and to validate the algorithms and functions required to deliver these advanced analytic applications.

Prediction and Optimization: For this class of applications, the process is inductive. Rather than starting with a hypothesis, developers and analysts can easily build analytic applications that discover the trends, patterns, and outliers in data sets.  Examples include propensity to churn in telecommunications, proactive product and service recommendations in retail, and pricing and retention strategies in financial services.

Ad Hoc Analysis: Examples of ad hoc analysis that can be performed includes social network analysis, advanced click stream analysis, graph analysis, cluster analysis, and a wide variety of mathematical, trigonometry, and statistical functions.

“Aster Data’s IDE and SQL-MapReduce significantly eases development of advanced analytic applications on big data. We have now built over 350 analytic functions in SQL-MapReduce on Aster Data nCluster that are available for customers to purchase,” said Partha Sen, CEO and Founder of Fuzzy Logix. “Aster Data’s implementation of MapReduce with SQL-MapReduce goes beyond the capabilities of general analytic development APIs and provides us with the excellent control and flexibility needed to implement even the most complex analytic algorithms.”

Richer analytics on big data volumes is the new competitive frontier. Organizations have always generated reports to guide their decision-making. Although reports are important, they are historical sets of information generally arranged around predefined metrics and generated on a periodic basis.

Advanced analytics begins where reporting leaves off. Reporting often answers historical questions such as “what happened?” However, analytics addresses “why it happened” and, increasingly, “what will happen next?” To that end, solutions like Aster Data Developer Express ease the development of powerful ad hoc, predictive analytics and enables analysts to quickly and deeply explore terabytes to petabytes of data.
“We are in the midst of a new age in analytics. Organizations today can harness the power of big data regardless of scale or complexity”, said Don Watters, Chief Data Architect for MySpace. “Solutions like the Aster Data Developer Express visual development environment make it even easier by enabling us to automate aspects of development that currently take days, allowing us to build rich analytic applications significantly faster. Making Developer Express openly available for download opens the power of MapReduce to a broader audience, making big data analytics much faster and easier than ever before.”

“Our delivery of SQL coupled with MapReduce has clearly made it easier for customers to build highly advanced analytic applications that leverage the power of MapReduce. The visual IDE, Aster Data Developer Express, introduced earlier this year, made application development even easier and the great response we have had to it has driven us to make this open and freely available to any organization looking to build rich analytic applications,” said Tasso Argyros, Founder and CTO, Aster Data. “We are excited about today’s announcement as it allows companies of all sizes who need richer analytics to easily build powerful analytic applications and experience the power of MapReduce without having to learn any new skills.”

You can have a look here at http://www.asterdata.com/download_developer_express/

Software Lawsuits :Ergo

The latest round of software lawsuits makes things more interesting especially for Google. There are two notable developments

1) Google’s pact with Verizon for Even more Open Internet -From

http://googlepublicpolicy.blogspot.com/2010/08/joint-policy-proposal-for-open-internet.html

A provider that offers a broadband Internet access service
complying with the above principles could offer any other additional or differentiated services. Such other services would have to be distinguishable in scope and purpose from broadband . Internet access service, but could make use of or access Internet content, applications or services
and could include traffic prioritization.

2) Oracle’s lawsuit against Google for Intellectual Property enforcement of Java for Android. ( read here http://news.cnet.com/8301-30685_3-20013549-264.html

I once joked about nothing remains cool forever not even Google (see https://decisionstats.wordpress.com/2008/08/05/11-ways-to-beat-up-google/ ) and I did not foresee the big G beating itself into knots on its own.

It is hard to sympathize with Google (or Oracle or Verizon) but this is a mess that is created when lawyers (with a briefcase) steal value rather than a thousand engineers can create value.

Interestingly Google owns the IP for Map Reduce – so could it itself sue the Hadoop community over terms of royalty someday-like Oracle did with Java- hmmmmm interesting revenue stream

All in all I would be happy to see zero tiers on an internet (wireless or wired) and even Java developers to make some money on writing code. Open source is not free source.

Open Source and Software Strategy

Curt Monash at Monash Research pointed out some ongoing open source GPL issues for WordPress and the Thesis issue (Also see http://ma.tt/2009/04/oracle-and-open-source/ and  http://www.mattcutts.com/blog/switching-things-around/).

As a user of both going upwards of 2 years- I believe open source and GPL license enforcement are general parts of software strategy of most software companies nowadays. Some thoughts on  open source and software strategy-Thesis remains a very very popular theme and has earned upwards of 100,000 $ for its creator (estimate based on 20k plus installs and 60$ avg price)

  • Little guys like to give away code to get some satisfaction/ recognition, big guys give away free code only when its necessary or when they are not making money in that product segment anyway.
  • As Ethan Hunt said, ” Every Hero needs a Villian”. Every software (market share) war between players needs One Big Company Holding more market share and Open Source Strategy between other player who is not able to create in house code, so effectively out sources by creating open source project. But same open source propent rarely gives away the secret to its own money making project.
    • Examples- Google creates open source Android, but wont reveal its secret algorithm for search which drives its main profits,
    • Google again puts a paper for MapReduce but it’s Yahoo that champions Hadoop,
    • Apple creates open source projects (http://www.apple.com/opensource/) but wont give away its Operating Source codes (why?) which help people buys its more expensive hardware,
    • IBM who helped kickstart the whole proprietary code thing (remember MS DOS) is the new champion of open source (http://www.ibm.com/developerworks/opensource/) and
    • Microsoft continues to spark open source debate but read http://blogs.technet.com/b/microsoft_blog/archive/2010/07/02/a-perspective-on-openness.aspx and  also http://www.microsoft.com/opensource/
    • SAS gives away a lot of open source code (Read Jim Davis , CMO SAS here , but will stick to Base SAS code (even though it seems to be making more money by verticals focus and data mining).
    • SPSS was the first big analytics company that helps supports R (open source stats software) but will cling to its own code on its softwares.
    • WordPress.org gives away its software (and I like Akismet just as well as blogging) for open source, but hey as anyone who is on WordPress.com knows how locked in you can get by its (pricy) platform.
    • Vendor Lock-in (wink wink price escalation) is the elephant in the room for Big Software Proprietary Companies.
    • SLA Quality, Maintenance and IP safety is the uh-oh for going in for open source software mostly.
  • Lack of IP protection for revenue models for open source code is the big bottleneck  for a lot of companies- as very few software users know what to do with source code if you give it to them anyways.
    • If companies were confident that they would still be earning same revenue and there would be less leakage or theft, they would gladly give away the source code.
    • Derivative softwares or extensions help popularize the original softwares.
      • Half Way Steps like Facebook Applications  the original big company to create a platform for third party creators),
      • IPhone Apps and Android Applications show success of creating APIs to help protect IP and software control while still giving some freedom to developers or alternate
      • User Interfaces to R in both SAS/IML and JMP is a similar example
  • Basically open source is mostly done by under dog while top dog mostly rakes in money ( and envy)
  • There is yet to a big commercial success in open source software, though they are very good open source softwares. Just as Google’s success helped establish advertising as an alternate ( and now dominant) revenue source for online companies , Open Source needs a big example of a company that made billions while giving source code away and still retaining control and direction of software strategy.
  • Open source people love to hate proprietary packages, yet there are more shades of grey (than black and white) and hypocrisy (read lies) within  the open source software movement than the regulated world of big software. People will be still people. Software is just a piece of code.  😉

(Art citation-http://gapingvoid.com/about/ and http://gapingvoidgallery.com/

Data Mining through the Android

Here is something interesting (I probably have to ask someone or wait for Android to come to India to do this personally0.

It uses the Android App Development ( which is quite easy if you have a Linux) and basically runs R from the cloud using a GUI Rattle. Fire away the data while watching a movie or just on the go !

See this-

http://analyticdroid.togaware.com/

Question- How useful do you think it will be to do this?  Would you like to run R on your mobile?