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.
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
On SQL Servers where Availability Groups (or Mirroring) isn’t in play, I typically recommend keeping a combination of on-box backups along with copying said backups off-box as well. Obviously, keeping databases AND backups on the SAME server is the metaphorical equivalent of putting all of your eggs in one basket – and therefore something you should avoid like the plague....More
One of the biggest strengths of AlwaysOn Availability Groups is that they allow DBAs to address both high availability and disaster recovery concerns from a single set of tooling or interfaces. But, this doesn’t mean that you won’t still need backups....More