Additional Articles


Technical Article

THE ROLE OF DATA DICTIONARY

IT leaders from enterprises around the world have realized that acquiring and implementing commercial off-the-shelf (COTS) application packages is a smarter thing to do, than the traditional approach of developing home-grown applications. This may not be the fit-for-all solution, but it makes sense from a cost, time to market and resource standpoint. Selection and acquisition of the software package is just the first step. How the software package brings value through successful implementation, is critical to the business. Internal groups as well as industry analysts will closely watch COTS package implementation in the organization.

2006-01-05

2,981 reads

Technical Article

Using ITWIZ.EXE to Automate Index Analysis

This process uses ITWIZ.EXE the command line version of the Index Tuning Wizard. SQL trace file information is stored in a table on production then transferred to a non-production server. ITWIZ is then run against the transferred trace data resulting in a UNICODE SQL script. This script has index creation and deletion information as well as script parameters in a remarks section.

2005-12-29

1,973 reads

Technical Article

SQL Server 2005 Integration Services, Part 2: Developing Custom Compon

The first phase of Project REAL included the migration of existing SQL Server 2000 DTS packages to SQL Server 2005 Integration Services (SSIS) for a large electronic retailer. One source of information for the data warehouse was from TLog files, which contained data from point-of-sale cash registers in stores. TLog files store data in packed decimal format. To extract and transform this data into a format suitable for loading into the relational data warehouse tables, it was necessary to unpack and parse the files. To achieve this, custom pipeline components were implemented to read and transform the data by extending the SSIS object model. This paper discusses what we learned while implementing the pipeline components for extracting and parsing data from the TLog parser

2005-12-27

2,067 reads

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Question of the Day

The string_agg function

We create the following table and then insert some records in it:

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL?
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

See possible answers