QUOTE AND NEWS
The Economic Times  Jun 4  Comment 
"Advanta Ltd is a 'BUY' call with a target of Rs 305 and a stop loss of Rs 270."
The Economic Times  May 20  Comment 
One should look at the opportunity when the market gives correction into such kind of companies to add into the portfolio with a long term view of around at least one and a half to two years
The Economic Times  May 14  Comment 
Advanta Ltd is a 'BUY' call with a target of Rs 210 and a stop loss of Rs 160.
The Economic Times  Apr 30  Comment 
Shunning concerns about El Nino, most of agri stocks have picked up momentum with Advanta and UPL gaining over 50% in just 2 months.
The Economic Times  Apr 11  Comment 
Advanta is a ‘Buy’ call with a target of Rs 160 and a stop loss of Rs 139.
The Hindu Business Line  Mar 24  Comment 
The Hindu Business Line  Mar 24  Comment 
The Hindu Business Line  Mar 24  Comment 
Advanta, an associate company of United Phosphorus, jumped 7 per cent with volumes zooming more than 9 times the average on Monday. The stock’s rally has decisively breached the key immedia...
The Economic Times  Feb 26  Comment 
Advanta is a 'BUY' call with a target of Rs 126 and a stop loss of Rs 112.
The Economic Times  Oct 17  Comment 
The company had clocked a net profit of Rs 20 crore in the July-September period of 2012-13 fiscal, Advanta Ltd said in a filing to the BSE.




 

i wanted to post a reply I made rerdaging an email question on this post:Question: On #3, could you provide some more cons to reporting against a transactional database?Reply:Good question, there are a few reasons why it's not optimal to report against a transactional database:1.A big reason is performance – reporting uses a lot of memory and CPU, especially, reports that use data cubes or mdx queries.2.Data locks can happen more frequently, when someone is adding data while someone is trying to report against it.3.Database designs for reporting are usually different than that for transaction databases. Transactional database should be normalized, with primary and foreign key relationships to ensure the data integrity and to eliminate duplicate or orphaned records. Reporting data structures are usually not normalized, or flat. Using a star database design, or a “table for each major reporting area” is typical for speed on the queries. Also, the indexes many times would be different. Databases for your applications are usually OLTP (On-Line Transaction Processing) and optimized to store data. Reporting databases are usually OLAP (On-Line Analytic Processing) optimized to retrieve data.4.Also, consider scalability if your reporting against your transactional database. How will it perform in a year from now with growth, more data, more reporting requirements, etc.?

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