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Wednesday, September 14, 2011. Pivoting columns into rows using Pentaho. Another interesting Pentaho data integration tool's functionality that I played around with is: pivot delimited fields in a file into rows. Following is the description of the test case. This transformation requires pivoting a column in the incoming row into multiple rows. Input and outputs are file based so no database table structure is presented in this section. A@sbcglobal.net,Auto;Mail;Finance. Output will look like. ELSE TRIM(...

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Wednesday, September 14, 2011. Pivoting columns into rows using Pentaho. Another interesting Pentaho data integration tool's functionality that I played around with is: pivot delimited fields in a file into rows. Following is the description of the test case. This transformation requires pivoting a column in the incoming row into multiple rows. Input and outputs are file based so no database table structure is presented in this section. A@sbcglobal.net,Auto;Mail;Finance. Output will look like. ELSE TRIM(...
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Techie's Blog | abhimita.blogspot.com Reviews

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Wednesday, September 14, 2011. Pivoting columns into rows using Pentaho. Another interesting Pentaho data integration tool's functionality that I played around with is: pivot delimited fields in a file into rows. Following is the description of the test case. This transformation requires pivoting a column in the incoming row into multiple rows. Input and outputs are file based so no database table structure is presented in this section. A@sbcglobal.net,Auto;Mail;Finance. Output will look like. ELSE TRIM(...

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Techie's Blog: June 2011

http://www.abhimita.blogspot.com/2011_06_01_archive.html

Wednesday, June 8, 2011. A friend of mine posed a challenging problem today. I will restate the problem using an example. Create table foo (. Val number ,. Insert into foo values (3,1);. Insert into foo values (5,2);. Insert into foo values (12,3);. Insert into foo values (20,4);. We need to write a single SQL to convert data in foo in following form:. 20 - (12 - (5 - 3) ). Here is what I did:. SELECT REPLACE(WM CONCAT(val),',',' ) str. ORDER BY lvl DESC). SELECT MAX(lvl) - 1 lvl. FROM tmp a,.

2

Techie's Blog: Comparison of Cathay Pacific and Singapore Airlines

http://www.abhimita.blogspot.com/2011/07/normal-0-false-false-false-en-us-x-none.html

Sunday, July 17, 2011. Comparison of Cathay Pacific and Singapore Airlines. This is the first time when we traveled to India using airlines other than Singapore Airlines from U.S. West Coast. We used Cathay Pacific whose price per adult ticket came out to be $300 less than SIA. I thought that I would publish a comparison of these two airlines so that others reading this blog might make prudent decision. Both airlines fly B-747 in San Francisco – Hong Kong route during peak of the summer. The seats in San...

3

Techie's Blog: September 2011

http://www.abhimita.blogspot.com/2011_09_01_archive.html

Wednesday, September 14, 2011. Pivoting columns into rows using Pentaho. Another interesting Pentaho data integration tool's functionality that I played around with is: pivot delimited fields in a file into rows. Following is the description of the test case. This transformation requires pivoting a column in the incoming row into multiple rows. Input and outputs are file based so no database table structure is presented in this section. A@sbcglobal.net,Auto;Mail;Finance. Output will look like. ELSE TRIM(...

4

Techie's Blog: Data validations for slowly changing dimension

http://www.abhimita.blogspot.com/2011/05/data-validations-for-slowly-changing.html

Sunday, May 8, 2011. Data validations for slowly changing dimension. If anybody is still not convinced with the benefits of type II dimension, Kimball's book. Is a recommended reading. Primary key in the dimensional table. Uniqueness of active record. If product dimension is maintained as type II dimension then product ID (identifier coming from operational system) may occur may times in the dimension table. All occurrences of records with a product ID needs to be inactive except the last one which s...

5

Techie's Blog: Enabling Oracle's table level constraints in parallel

http://www.abhimita.blogspot.com/2011/05/enabling-oracles-table-level.html

Tuesday, May 17, 2011. Enabling Oracle's table level constraints in parallel. In DW environment often fact tables are inordinately large. They can be easily be several billions and at times hundreds of billions especially in cases where the fact tables contain most granular data. Creating foreign key constraints for such fact tables can be quite a challenge. ALTER TABLE click fact ADD CONSTRAINT click fact prod fk FOREIGN KEY (product sid) REFERENCES product dim(product sid) ;. FROM CLICK FACT a,. Yepits...

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Techie's Blog

Wednesday, September 14, 2011. Pivoting columns into rows using Pentaho. Another interesting Pentaho data integration tool's functionality that I played around with is: pivot delimited fields in a file into rows. Following is the description of the test case. This transformation requires pivoting a column in the incoming row into multiple rows. Input and outputs are file based so no database table structure is presented in this section. A@sbcglobal.net,Auto;Mail;Finance. Output will look like. ELSE TRIM(...

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