Most programmers think the XQuery language was developed to satisfy a niche market: A data querying and transformation language designed to handle XML data.
Kenneth Stephen is an application architect who has 20 years of experience designing and implementing applications on platforms ranging from the PC to the mainframe. The items table includes order numbers and item numbers.) The items table also has a foreign key relationship on the purchase_order table. The first time you sign in to developerWorks, a profile is created for you, so you need to choose a display name. Keep up with the best and latest technical info to help you tackle your development challenges. By the end you’ll understand the pattern used to identify duplicate values and be able to use in in your database. All the examples for this lesson are based on Microsoft SQL Server Management Studio and the AdventureWorks2012 database.
After looking at the database it becomes apparent the HumanResources.Employee table is the one to use as it contains employee birthdates. At first glance it seem like it would be pretty easy to find duplicate values in SQL server.  After all we can easily sort the data. But once the data is sorted it gets harder!  Since SQL is a set based language, there is not an easy way, except for using cursors, to know the previous record’s values. If we knew these, we could just compare values, and when they were the same flag the records as duplicates.
When working with SQL, especially in uncharted territory, I feel it is better to build a statement in small steps, verifying results as you go, rather than writing the “final” SQL in one step, to only find I need to troubleshoot it. So for our first step, we are going to list all employees.  To do so,we’ll join the Employee table to the Person table to so we can get the employee’s name. In the next step we’ll set up the results so we can start to compare birth dates to find duplicate values. Now that we have a list of employees we now need a means to compare birthdates so we can identify employees with the same birthdates.  In general these are duplicate values. The reason we’re focusing on BusinessEntityID is that it is the primary key and the unique identifier for the table.  It becomes a highly concise and convenient means to identify a row’s results and to understand its source. We’re getting closer to obtaining our final result, but once you check out the results you’ll see we’re picking up the same record in both the E1 and E2 match. Check out the items circled in red.  Those are the false positives we need to eliminate from our results.


In the next step we’ll take those false positives head on and remove them from our results.
In the prior step you may have noticed all the false positive matches have the same BusinessEntityID; whereas, the true duplicates were not equal. If we want to only see duplicates, then we need to only bring back matches from the join where the BusinessEntityID values are not equal.
Once this query is run you’ll see there are fewer rows in the results, and those which remain are truly duplicates.
Since this was a business request, let’s clean up the query so we are only showing the information requested. Let’s get rid of the BusinessEntityID values from the query.  They were there only to help us troubleshoot. Mark, one of my readers, pointed out to me that if there are three employees that have the same birth dates, then you would have duplicates in the final results.
We performed a self-join, INNER JOIN on same table in geek speak, and using the field we deemed a duplicated. Finally we eliminated matches to the same row by excluding rows where the primary keys were the same.
By taking a step by step approach you can see we took a lot of the guess work out of creating the query. If you’re looking to improve how you write your queries or are just confounded by it all and looking for a way to clear the fog, then may I suggest my guide Three Steps to Better SQL. Thanks for such a detailed and easy to understand explanation of the normalization technique.. Most of the time, when someone on a techie forum says that they're about to explain something in plain English, the exact opposite happens.
Microsoft’s vision for business intelligence is to help drive businesses to better performance by enabling all decision makers – essentially empowering all employees throughout the organization – to make better decisions. Microsoft Dynamics NAV is a good example of this cross-product integration and offers a range of business intelligence capabilities – spanning from built-in reports and wizards, to advanced tools allowing users to gain the insight required to optimize performance across the entire organization. As an organization grows requirements for flexible software solutions and business intelligence capabilities become more demanding. As the organization continue to grow and more complex business intelligence requirements emerge, Microsoft Dynamics NAV, Microsoft Office and other dedicated Microsoft Business Intelligence and Web solutions enables organizations to realize the maximum benefit of the business intelligence. In the case of relational databases, the prevailing practice is to use SQL for non-XML data and use XQuery for XML.


He has lots of experience designing and implementing applications using XML technologies, including XSLT and XQuery.
The XQuery style is quite easy to construct and maintain, leading to improved programmer productivity. This is a good reason, in this author's opinion, to encourage the increasing adoption of XML data types in databases. Your display name must be unique in the developerWorks community and should not be your email address for privacy reasons. I was struggling with CHARINDEX function for a few months, I was able to get the moment I saw your example. The way u elaborated the whole process is just stupendous…I visited a number of sites for better understanding of normalization, but no one matched your caliber seriously… Great job indeed, keep up the good work.. By implementing business intelligence strategy organizations can change the direction of their organization. Microsoft will and are doing this by providing cross product integration, delivering business intelligence capabilities within Microsoft Office and making its business intelligence offerings scalable so that everyone in the organization is empowered with business intelligence tools. This complete, flexible solution meets the requirements of both small businesses that need easy-to-use, yet effective tools as well as the requirements of larger organizations that need the most technically advanced business intelligence capabilities.
This article makes the case that the powerful programming constructs available in the XQuery language make it a better programming language than SQL, and that this improvement in expressiveness and ease of use is enough to warrant the design of databases with an increasing emphasis on XML data types. Organizations who can exploit its own data and information to gain insight and make informed decisions will have a clear competitive advantage. Weather they are working on the strategic, the tactical or the operational level, Microsoft Business Intelligence applications are to help make more informed decisions as a natural part of their every day work experience for all employees. Microsoft Dynamics NAV provides flexible business intelligence capabilities and a growth path that helps reinforce and leverage your existing investments.
2007): Learn more in this very thorough tutorial on the various facilities that DB2 pureXML provides to work with XML data types.New to XML?



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