Many database administrators (DBAs) spend at least some of their time trying to identify and remove duplicate records from database tables. Much of this time could be diverted to other pursuits if more attention was paid to preventing duplicates from being inserted in the first place. In principle, this is not difficult to do. However, in practice, it is all-too-possible to have duplicate rows and not even know it! Today's blog will present a few strategies for minimizing the occurrence of duplicate records in your database tables by preventing them from being inserted into a table.
The periodic reverting of database instances to a baseline dataset is a common practice in development and test environments. Case in point, the office where I work does so on a regular basis, whenever data diverges too much from the baseline. This is required because developers and automated tests expect the data to be of a certain quantity and quality. There is no right way to overwrite table contents, so you should choose an option based on your organization's particular goals and circumstances. In today's blog, I'll share what we do where I work as well as my standard process at This email address is being protected from spambots. You need JavaScript enabled to view it..
In relational databases, including MySQL, SQL Server, Oracle, and others, the ORDINAL_POSITION refers to a column's location in terms of ordering within a table or query output. In today's blog, we'll learn how to use ordinal positioning to present columns in our preferred order, using Navicat Premium as our database client.
Ransomware attacks are nothing new. In fact, the first known ransomware virus was created in 1989! So why bring them up now? While the frequency of ransomware attacks has fluctuated over the years, recent statistics show that ransomware attacks rose significantly in frequency in 2019 and won't be letting up any time soon. For that reason, you should know what ransomware attacks are, how they work, and how best to deter malicious entities from targeting your organization. And that is exactly what you'll learn here today!
Months can be notoriously difficult to work with due to a variety of factors, including their variability in length. To make database developers' jobs easier, most relational databases (DBMS) offer functions such as MONTH() and MONTHNAME(). These two functions are great for grouping results by month and for displaying their values. In today's blog, we'll learn how to use specialized SQL functions for working with months.
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