For example, a column with a pre-defined list of values and has a value that is not on that list should be flagged. You can create expressions that find cases where it returns something we need to clean the data. I’ve mentioned above, but the “not equals” operator is ideal to find edge cases or information that is not correct. Use it when it makes “sense.”ĭepending on how your columns are named, you may want to use the “not equals” operator instead of the “equals.” For example, if a column is named “Is Consultant” and you want to get the employees, you can use the “equals” to false, but it makes more sense to read it as “is a consultant not equals to true.” The result is the same, but how the expression is written makes it much clear its intention. Be careful with this since more exceptions may come that are not considered in your expression and result in invalid data. Often the “not equals” operator is used to remove exceptions. It’s a lot more work to filter the data that we don’t want than to filter only the data we want. Prefer the equals operator to get the data that you want. Querying for something that “isn’t” something is a shift of mindset, so use it only when it makes sense. People tend to think in a “positive” way. If possible, prefer the “equals” operator. Still, I’ll use Power Automate as an example to demonstrate its usage. There are many areas in the Power Platform and more that the OData Equals Operator is useful. You can define a “ equals” expression where you define what the data “should be” and then use the “not equals” operator to find data that is incorrect, for example. Its also quite useful to find incorrect results. Where the “ equals” we get what we want, here we exclude what we don’t want, parsing out the data exceptions. It provides a useful filter of data that we don’t want to fetch from the server. We’ve already covered the “ equals” operator but let’s look at its counterpart. Click to share on Telegram (Opens in new window).Click to share on Pinterest (Opens in new window).Click to share on Tumblr (Opens in new window).Click to share on WhatsApp (Opens in new window).Click to share on Reddit (Opens in new window).Click to share on Facebook (Opens in new window).Click to share on Pocket (Opens in new window).Click to share on Twitter (Opens in new window).Click to share on LinkedIn (Opens in new window).Click to email a link to a friend (Opens in new window).
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