EA is a continuous process which align IT with Business for the purpose of supporting, growing and stabilizing business.
via Need of EA.
November 10, 2009
Need consultation on starting an Online Travel Agency. Want to know the Nuts and Bolts of OTA ?
via OTA Online Travel Agency.
November 10, 2009
In order for a business to improve its performance it must understand how it does business. It must convert the how into defined processes, which must be able to have their performance measured, and the results used to make subsequent improvements
via Business Process Modeling.
September 28, 2009
Support Vs Growth is same as Present Vs Future. For Long I have lived in a Myth, that IT is a Support function. Something which is not a core business is always a support. In this article my aim would be to confront this myth.
via IT: Support Vs Growth..
September 9, 2009
If we want our articles to get reviewed, or would like to share it with more and more users.
Then the best places to submit the articles are.
- Dzone.com
- Slashdot.org
- Technorati.com
- Digg.com
- Techdirt.com
- Twitter.com
Though there are hundreds of other sites also. But these are some of them which stand apart. If you can think of more sites, which have more then 5K unique visitors/day coming to them. Push it to me, and i will try to edit the list.
July 3, 2009
Welcome, One more ad network in India. We already have 10+ ad networks here. One more will not change the marketplace. They are looking for bloggers, with 40K+ unique visitors pm in India. Let us hope they find enough of such bloggers. If the publishers are benefiting out of the competition, then why not. Already there are few companies in India, who have tried their hands on Vertical ad network. But due to lack of inventory, they rechristened them self to Horizontal ad network. Hope IDG goes a long way.
May 22, 2009
Is data retrieval from database, killing your performance? Is your database crashing every few weeks, due to load? Does most of your time go into tweaking and tuning the database for performance? Are you spending too much on Db administrator? Do you find Mysql replication an impossible job?
If the answer is yes for any one of the questions above, then you should give a look at Memcache. Memcache is an object caching system. It caches all your db objects to be used by n number of threads or any part of your application or any process across the data centre.
Assuming you have product, which runs on several servers (S1, S2, S3… all of them on the same data centre), you need to optimise it for data retrieval. A Memcache client will have all your key:pair list hashed on it, it can also have all the information about the servers you are using for balancing the load. Now if a request is redirected to one of the servers, S1 and Memcache is installed, then it will look for the object in memcache client, C1. If an existing key pair exists for the object, the obj is returned from the server (any of S1, S2, S3 …) to the S1. If it does not exist, then it will be created and saved in S1 cache.
More documents on the topic.
http://www.danga.com/memcached
http://blog.twitter.com/2008/05/its-not-rocket-science-but-its-our-work.html
http://www.facebook.com/note.php?note_id=23844338919
March 19, 2009
In the review Post, i am going to write for different tools, technologies, algorithms which are available in opensource community. There will be lot of things common in between the review post. Most common would be their ease of use in Internet industry.
Today’s topic is SVM.
SVM stands for support vector machines. This is a method used for classifying the data and doing regression later on.
Classification: If we look down at Delhi from a high position, what do we see? We see the clusters of houses in Delhi.
What are the properties of people who had formed the clusters? is it economic, social or geographic properties which had decided for the housing of different set of people in Delhi. To classify a data we need to first figure out the dimension on which the data need to be classified. once we find that we plot the clusters on the axis. Now we have information like Cluster A has people with (A(Range1)X,B(Range1)Y,C(Range1)Z) properties. cluster B has (A(Range2)X,B(Range2)Y,C(Range2)Z) properties and so on. Now by classification we mean to find a curve which separate the clusters. To identify the curve we use set of sample data or the test data.
Regression: Once the classification is done on the real data. we do the regression for any new data coming into the system. we input a data with the properties, and the system will give us the most probable cluster the data belongs to.
use of Application: can be used for predictive analysis, like credit ranking, contextual mapping, forecasting in sales and CRM software, optimization techniques and so on.

Download the software from : SVMLight
March 2, 2009