Author: Ajay Ohri

http://about.me/ajayohri

Movie Review- Bollywood "Rock Star"

This one is a wee bit different. The music sounds more contemporary and fusion ,East blends West, the direction is both subtle and at times flamboyant, and the acting is notches above the average dance round the tree, laugh like a idiot fare.

Rock Star is the tale of a college dropout (aint they all!) called Jordan / by Ranbir Kapoor  musical prodigy who battles personal demons, lady luck , lady love (in the impossible pout of the American fashion model ,Nargis F), and his own musical ambitions. The breathtaking art moves from Kashmir, Prague, Europe and the streets of Delhi University. This one is a taker, breaker, soul shaker.  Try getting a sub titled DVD if you dont know Hindi, or atleast dekko some songs streaming free at http://www.saavn.com/search/hindi/album%20Rockstar

Imitiaz Ali http://en.wikipedia.org/wiki/Imtiaz_Ali_(director) does all olde Hindu College alumni proud (including this reviewer)
https://www.youtube-nocookie.com/v/cn1jx_JUpi0?version=3&hl=en_US&rel=0

HANA Oncolyzer

An interesting use case of technology for better health is HANA Oncolyzer at http://epic.hpi.uni-potsdam.de/Home/HanaOncolyzer

“Build on the newest in-memory technology the HANA Oncolyzer is able to analyze even huge amounts of medical data in shortest time”, says Dr. Alexander Zeier, Deputy Chair of EPIC. Research institutes and university hospital support from HANA Oncolyzer by building the basis for a flexible exchange of information about efficiency of medicines and treatments.

In near future, the tumor’s DNA of all cancer patients needs to be analyzed to support specific patient therapies. These analyses result in medical data in amount of multiple terabytes. “These data need to be analyzed regarding mutations and anomalies in real-time”, says Matthias Steinbrecher at SAP’s Innovation Center in Potsdam. As one of the aims the research prototype HANA Oncolyzer was developed at our chair in cooperation with SAP’s Innovation Center in Potsdam. “The ‘heart’ of our development builds the in-memory technology that supports the parallel analysis of million of data within seconds in main memory”, saysMatthieu Schapranow, Ph.D. cand. at the HPI.

and

research activities result in 500.000 or more data points per patient.

and

With the help of a dedicated iPad application medical doctors can access all data mobile at any location anytime.

 

Awesome Case Study by PayPal/ Rapid Miner for Churn

I just saw this awesome case study of using Rapid Miner for predicting Churn in financial services (Paypal). I had been looking for simple yet exhaustive manuals/case studies on churn modeling and this is one the better ones I have seen. http://rapid-i.com/downloads/press/PayPalCaseStudyChurnRiskDetectionv1.1-web.pdf

 

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

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Ajay Ohri

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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.

I like the Google Plus Pages

https://plus.google.com/100342444795999377790/posts

and unlike Scoble, my only wish is they fix the badge page

https://developers.google.com/+/plugins/badge/config?pageId=100342444795999377790&hl=en

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