A Brief Overview of Open vs Closed in Computing

1984 – IBM   (Big Brother) vs Apple  (Computing opened for individuals)

1988- Apple (Closed Hardware and Software) vs Microsoft (  Licensed to all software)

1998- Microsoft (Source code is closed but licenses to all) vs Linux (Open Source Code)

2008- Apple (Closed Hardware and Software) vs Google (Android/Linux) -(Free and Open Source)

2010 – Google (Web open to search) vs Facebook (Closed to search)

2018 (?)-Google (Code is open for all non revenue generating software, but search engine algorithm is closed) VS       TBD

App to App Porting

I often wonder why bright, intelligent software programmers go out of their way to write turgid and lengthy words in documentation, do not make  step by step screenshot/slides for Tutorials, and practically force everyone to reinvent the wheel everytime they create a new platform.

Top of my wish list for 2012-

1) Better GUI  for APP CREATION-

example-A GUI utility to create chrome apps something similar to Android  App creator http://www.appinventorbeta.com/about/

2)  Automated Porting or Translation-

An automated appsot app for reading in an iOS app (or iPhone app) and churning out the necessary Android app code. This is similar to translating blogs from one blogging platform to another using Python at http://code.google.com/p/google-blog-converters-appengine/

 

but the woefully underpowered http://wordpress2blogger.appspot.com/ currently allows only downloads less than 1 MB, while WordPress itself allows 15 MB export files.

3) Better interaction between cloud and desktop apps

example – (google docs and libre office)  or webcams to (google hangouts and google voice /youtube)

Are we there yet? Not appy enough !

 

 

Blogging Stats

Some statistics on blogs by the people who host them-

1) Tumblr

http://www.tumblr.com/about

12,917,771,050 TOTAL POSTS
34,669,313 TOTAL BLOGS
42,559,168  POSTS TODAY
2) WordPress
66,286,719 WordPress Sites in the World
I found no stats by Blogger or by Drupal but by using Google Trends.
From Google Trends-
blogger 
3.00
drupal 
1.00
sharepoint 
2.20
wordpress 
3.6
tumblr 
2.20

Statistics on Social Media

Some official statistics on social media from the owners themselves

1) Facebook-

http://www.facebook.com/press/info.php?statistics

Date -17 Nov 2011

Statistics

People on Facebook

Creating Pages on Google Plus for some languages

So I decided to create Pages on Google Plus for my favorite programming languages.

a programming language that lets you work more quickly and integrate your systems more effectively

Add to circles

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Ajay Ohri

Ajay Ohri's profile photo

Ajay Ohri  –
Ajay Ohri shared a Google+ page with you.
Structured Query Language
Leading statistical language since 1960’s especially in sociology and market research
The leading statistical language in the world
The leading statistical language since 1970’s

Python

https://plus.google.com/107930407101060924456/posts

 

These are in accordance with Google’s Policies http://www.google.com/intl/en/+/policy/pagesterm.html  Continue reading “Creating Pages on Google Plus for some languages”

Preview- Google Cloud SQL

From –http://code.google.com/apis/sql/

What is Google Cloud SQL?

Google Cloud SQL is web service that allows you to create, configure, and use relational databases with your App Engine applications. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.

By offering the capabilities of a MySQL database, the service enables you to easily move your data, applications, and services into and out of the cloud. This allows for high data portability and helps in faster time-to-market because you can quickly leverage your existing database (using JDBC and/or DB-API) in your App Engine application.

Here is where you can get an invite to the beta only Google Cloud SQL

Sign up for Limited Preview

Google Cloud SQL is available to a limited number of users. To sign up for the service:

  1. Visit the Google APIs Console. The console opens the All services pane.
  2. Find the SQL Service line in the Services table and click Request access…
  3. Fill out the enrollment form.
  4. Our team will review your enrollment information and respond by email to the address associated with your Google Account.
  5. Follow the link in the email to view the Terms of Service. Please read these carefully before accepting.
  6. Sign up for the google-cloud-sql-announce group to receive important announcements and product news. (NOTE- Members: 384)
and after all that violence and double talk, a walk in the clouds with SQL.
1. There are three kinds of instances in the beta view
2. Wait for the Instance to be created note- the Design of the Interface uptil now is much better than Amazon’s.  
Note you need to have an appspot application from Google Apps and can choose between the Python and Java versions. Quite clearly there is a play for other languages too. I think GO is also supported.
3. You can import your data from your Google Storage bucket
4. I am not that hot at coding or maybe the interface was too pretty. Anyways- the log tells me that import of the text file has failed from Google Storage to Google Cloud SQL 
5. Incidentally the Google Cloud Storage interface is also much better than the Amazon GUI for transferring data- Note I was using the classical statistical dataset Boston Housing Data as the test case. 
6. The SQL prompt is the weakest part of the design process of the Interphase. There is no Query builder and the SELECT FROM WHERE prompt is slightly amusing/ insulting . I mean guys either throw in a fully fledged GUI for query builder similar to the MYSQL Workbench , than create a pretty white command prompt.
7. You can also export your data back to your Google Storage bucket 
These are early days, and I am trying to see if there is a play for some cloud kind of ODBC action between R, Prediction API , and the cloud SQL… so try it out yourself at http://code.google.com/apis/sql/ and see if there is any juice you can build  here.