Shortcuts can greatly simplify your work with DBeaver. Previously, we have already told you about the best hotkeys for new and existing SQL scripts. Today we want to cover TOP-5 shortcuts for working with the Data Editor that you may find useful.
In one of our previous blog posts, we talked about what opportunities DBeaver provides to financial analysts. Data Editor features may come in handy not only for them but also for other specialists working with large amounts of data. Today we will tell you about one of these features, it allows you to colorize certain values in your table.
The Data Editor is one of the most powerful and useful DBeaver tools for most of our users. It allows you to view and edit data and metadata, visualize data, generate result sets for reporting, and much more.
DBeaver supports a large number of databases with different purposes. Relational databases remain the most common databases our users constantly work with, and our app offers a wide range of features for working with the data stored in them. For your convenience, we have added the ability to visualize data to our PRO versions as one more way to work with data.
Our hero Louis, who you would have read about in one of our previous articles, has a new hobby. As he is quite fond of going to the cinema, he has created his own website with information about movies. Louis stores movie titles and descriptions, cast lists, and other information in a database and updates it regularly. And with DBeaver, he can easily keep his site up-to-date.
Let’s take a look at a small company that manufactures and sells merch all over the world using its own online shop. The boss asked his assistant Louis to reward regular customers by sending them gifts. To get a list of the mailing addresses, he needs to select the desired group of customers.
How can he do all of this with DBeaver?
Today, databases do not store only strings and numbers, as it used to be. You can use your database for different data types, including images, spatial data, and even data structures such as JSON. If the text value is easy to edit right in the table cell, working with more complex data types can be difficult. Today we will talk about how DBeaver’s Value Panel solves this problem.
The Data editor is one of the main parts of DBeaver. With it, you can perform various operations with your data in the tables, including editing, filtering, analyzing, exporting and importing, visualizing, and much more. Let’s take a quick look at the features of this useful tool.
