![]() using the SUBSTRING function in a WHERE clause meaning you can't use an index efficiently).īacking up SQL Server is not just about database files anymore. Many common T-SQL programming "difficulties" are the result of struggling against the way data should be structured and can be avoided by applying the basic normalization techniques and are obvious things that you find yourself struggling with time and again (i.e. Data should be easy to work with in SQL Server if the database has been organized as close as possible to the standards of normalization that have proven for many years. In this session I will give an overview of how to design a database, including the common normal forms and why they should matter to you if you are creating or modifying SQL Server databases. Neither SQL nor SEO are four letter words and they go together perfectly! So too can your IT and marketing departments as you tackle the new age of IT Marketing. ![]() ![]() This lecture will delve into the use of the latest SQL Server 2005 and SQL Server 2008 technologies including recursive common table expressions (CTE), hierarchical data models, and CLR stored procedures for the IT side of the house while also delving into the use of analytics, webmaster monitoring tools, web marketing tactics and search engine optimization techniques for the more marketing minded. SQL and SEO - Making Money with SQL Serverīringing marketing together with technology is a fine art that involves high tech tools, real life solutions, and most important human buy-in from the marketing and IT departments. We'll cover monitoring techniques, calibrating performance, and troubleshooting common replication problems plus share some tricks and tips. This session is for DBA already familiar with the basics of transactional replication and looking to go beyond the setup wizards to gain a deeper understanding of the technology. ![]() However, replication is more than clicking your way through wizards Monitoring and tuning are required to achieve optimal performance and the number of processes involved increase the likelihood that problems can (and usually will) occur. Transactional replication can support synchronizing from as few as a hundred to as many as hundreds of millions or more of changes a day across multiple servers. PDF of Schedule Transactional Replication: Beyond The Basics ![]()
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