Additional Articles


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Check your Digits

The most persistent struggle in data processing has been to ensure clean data. There are many ways that data can be incorrect and a database must check, as best it can, that the data is correct. The CHECK constraint is ideally suited for this sort of work, and the checking routine can become quite complex when dealing with check digits in data.

2011-04-28

3,328 reads

Technical Article

Backup and Restore of an Analysis Services Database

One of the most important responsibilities of a database administrator is to make sure that all the databases are backed up across environments managed by them. In my earlier article titled Importance of Database Backups and Recovery Plan I discussed the importance of a good database backup and recovery plan for all the user and system databases. In this article we will take a look at the steps which a database administrator needs to follow to backup and restore an analysis services database.

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2011-04-25

3,172 reads

Technical Article

When does a Tumbling Window Start in StreamInsight

Whilst getting some courseware ready I was playing around writing some code and I decided to very simply show when a window starts and ends based on you asking for a TumblingWindow of n time units in StreamInsight. I thought this was going to be a two second thing but what I found was something I haven’t yet found documented anywhere until now.

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2011-04-21

2,346 reads

External Article

Clean unused space when a variable-length column is dropped from a SQL Server table or indexed view

Whenever rows or columns are deleted from a table, SQL Server reuses space to accommodate new data. However, this is not the case when a variable length column is deleted. The space used by this type of column is not reclaimed automatically. Variable length columns can be of data types varchar, nvarchar, varchar(max), nvarchar(max), varbinary, varbinary(max), text, ntext, image, sql_variant, and xml. In this tip, I have tried to put forth a solution to reclaim this space and this should work for SQL 2005 and later versions.

2011-04-18

3,911 reads

Technical Article

SQL Transparent Hierarchical Processing of Relational, XML and IMS Data

The SQL-92 standard introduced the LEFT Outer Join operation which offers a powerful alternative to standard relational processing to perform full hierarchical processing naturally and inherently. This enables SQL to transparently integrate relational data with XML, IMS and other forms of legacy hierarchical data. This can also allow the so far overlooked integration of IMS and legacy data with the Internet and XML, and visa versa.

2011-04-15

3,437 reads

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Reserved Words I

Which of these are not reserved words?

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