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Seth Delconte

Seth Delconte is a SQL Server Developer. In addition to SQL Server database development and administration, he enjoys C#.NET and Linux development.

Introduction to SQL Server Filtered Indexes

SQL Server filtered indexes can save space and improve performance if they are used properly. Under what circumstances can they be used? When are they most effective, and what sort of performance gain or space-saving is likely? How does a filtered index affect the choice of execution plan? Seth explores these questions with practical experiments Read more...

Ad-Hoc XML File Querying

When you need to shred just part of the data within a large XML file into a SQL Server table, the most efficient way is to just select what you need via XQuery or by using XPath, before shredding it into a table. But precisely how would you do that? Read more...

Precision Indexing: Basics of Selective XML Indexes in SQL Server 2012

Seldom has a SQL Server Service pack had such an effect on database development as when SQL Server 2012 SP1 introduced selective XML indexes. These transform the practicality of querying large amounts of XML data. Seth Delconte demonstrates how and why this feature makes all the difference. Read more...

Manipulating XML Data in SQL Server

When the average database developer is obliged to manipulate XML, either shredding it into relational format, or creating it from SQL, it is often done 'at arms length'. A shame, since effective use of techniques that go beyond the basics can save much code, and are likely to perform better. Read more...

Getting Started With XML Indexes

XML Indexes make a huge difference to the speed of XML queries, as Seth Delconte explains; and demonstrates by running queries against half a million XML employee records. The execution time of a query is reduced from two seconds to being too quick to measure, purely by creating the right type of secondary index for the query. Read more...

NULL-Friendly: Using Sparse Columns and Column Sets in SQL Server

Sparse columns and column sets in SQL Server 2012 provide a way of accomodating the less-structured data that has always proved to be tricky for the relational model. They can be used very effectively where the attributes are sparse for any given entity and very numerous across all entities. Seth Delconte shows how to use them. Read more...

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