Relations vs Query Columns | Glide Apps Tutorial | No Code

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Are you struggling with organizing and structuring your data in Glide? In this video, we dive into the importance of data organization and highlight the key areas to focus on: basic data, computed columns, integration columns, query columns, and relation columns.
When it comes to computed columns and integration columns, they often bring back single or multiple values, helping you streamline your data analysis. On the other hand, query columns and relation columns play a crucial role in bringing back rows of data, enhancing your data retrieval process.
Query columns offer the flexibility of matching records based on multiple criteria, enabling you to find specific information efficiently. Conversely, relation columns are designed to use a single criterion to bring back relevant rows of data, simplifying your data structuring process.
By understanding the importance of these different data areas and columns, you can unlock the true potential of Glide and optimize your data organization strategy. Whether you're a beginner or an experienced Glide user, this video will provide you with valuable insights and tips to enhance your data management skills.
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[@cqajagsaw]

how to display the query in layout?

[@education951]

Jack, does this mean that query can completely replace relations?

[@glideapps]

In non-SQL data sources, it’s better to use a relation if you are just matching on a single value. This is just a performance issue. However, in SQL data sources, yes - you could just leave the relation column behind and just use the query column.

[@MatiasCastroRimatcom]

Thanks jack for the video. One question: Which software do you use to record the screen and you?

[@glideapps]

Screenstudio!