Calculating average daily counts seems like something that would be done fairly often, and yet, I have never done it. I asked my wife, who is also a programmer of database-backed applications, and she never had the occasion to do so either! So, it is with great enthusiasm that I take on this challenge today.
Choosing between commercial and open source database offerings is not an easy one as many popular commercial databases are made available to developers and/or students at a greatly reduced cost or even for free. In other cases, the parent companies offer similar open source versions of their enterprise level products.
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.
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