Chandra Sekhar Pathivada

Chandra Sekhar
Pathivada

Chandra Sekhar Pathivada is an independent consultant based in San Francisco. An MCST in SQL Server 2005 and SQL Server 2000, he specializes in developing and administering SQL Server database servers. He hosts the www.calsql.com website to help fellow DBAs and the SQL Server user community.

Articles
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Revisiting How to Avoid Referential Integrity Errors
In this updated version of "Avoid Referential Integrity Errors When Deleting Records from Databases," Chandra Sekhar Pathivada goes more in-depth into the concepts behind his PR_HIERARCHIAL_DATA stored procedure.
white cubes of assorted size on blue and yellow data grid background
Avoid Referential Integrity Errors When Deleting Records from Databases 8
Deleting all the records in a database can be tricky when it includes tables with foreign keys. Here's a script you can use if you have ALTER TABLE permission and a stored procedure you can use if you don't.

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From the Blogs
Apr 28, 2015
blog

AlwaysOn Availability Groups and SQL Server Jobs, Part 22: Executing Backups

Ultimately, there are a number of ways that DBAs can regularly create backups of their databases. Some of the more common options for managing backups include:...More
Mar 17, 2015
blog

AlwaysOn Availability Groups and SQL Server Jobs, Part 21: Assigning Backup Preferences

An option when creating new AlwaysOn Availability Groups is to specify Backup Preferences. It’s also something you can easily configure once the Availability Group has been set up as well – by simply right-clicking on the Availability Group and selecting Properties – then navigating into the Backup Preferences tab.  ...More
Mar 14, 2015
Commentary

For Data Quality, Intelligent Rules Add Value to the Golden Record 6

The quest for the Golden Record to achieve a single, accurate and complete version of a customer record is worth the pursuit to attain survivorship. Record matching and consolidation are only the beginning. Melissa Data takes a new approach. Learn how to apply intelligent rules based on reference data to make smarter and better decisions for data cleansing....More
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