This session will examine ways to write better code by using CTEs to simplify queries, implement error handling to deal with problematic data, and show a few tips and tricks for writing code quicker and generating enough test data to properly evaluate your queries.
We'll examine a few intermediate techniques for efficient queries. We start with tally tables and calendar tables, showing practical uses of each. We will then look at pivoting data to display row data as column data and vice versa.
In this session, we'll examine the windowing functions in SQL Server that allow you to efficiently query data in groups, or partitions, and answer complex questions such as running totals and ranking results into percentiles.
Data quality is really important. Why? Because it helps you save money while increasing profits because of accurate contact data. It’s important to understand what data quality is and why it is important....More
Are you dealing with national and international records? The more expansive your records are in territory, the more problems you will face when it comes to verifying addresses. Not only are you dealing with language differences, but you are also dealing with different address formatting for different countries....More
Your contact data is valuable, but is it up to its full potential? Without the proper maintenance, the quality of your data quickly decreases--so quickly that 50% of databases deteriorate after only two years. It is an absolute necessity to maintain your data in order to decrease costs and increase profits....More