In data management, efficiently importing data is vital. Whether migrating data from legacy systems, updating your databases, or consolidating information from various sources, a reliable data import tool can save you time and effort. For data analysts, keeping databases up-to-date with the latest reports is crucial for accurate analysis and decision-making.
Imagine having a helper that turns any of your data search tasks in CloudBeaver into a working SQL query. If you’ve dreamed of such a thing, we’ve just built in an AI Assistant into our tool’s SQL Editor. Today you’ll learn how to interact with it for maximum advantage.
There are several ways to create a connection in CloudBeaver. If you frequently need to connect to the databases of a specific driver, you could have used the “New Connection from Template” feature. But first, you need to make a proper one. Let’s learn how to do that.
Are you looking to get a better grasp of your database structure? Entity Relationship Diagrams (ERD) in CloudBeaver are a powerful tool for visualizing the relationships between different database objects. We dive into the functionality and benefits of ERDs in this detailed article. Whether you are a seasoned database professional or new to SQL scripting, ERDs offer an intuitive way to navigate through a complex database structure and check it for links between tables.
CloudBeaver is a data management tool for teamwork. When many professionals work with data, the chances of errors being made increase. What if, at some point, the project administrator realises that the processes are broken, and something is wrong with the data?
In the SQL Editor in CloudBever, users can write a query to any connected database. But what if they need assistance with scripting? Then Visual Query Builder (VQB) will help anyone to cope with these tasks. With its interface, any user can write the necessary query without writing a single line of code.
If your company has an enterprise account in CloudBeaver, it doesn’t mean you will find the right database inside. Sometimes this happens because of confusion in Data Navigator, and in other cases because there is no connection to it. So you can create this connection yourself.
Data Editor is a useful and often necessary feature for working with data in CloudBeaver. Its functionality is not limited to editing the table in Grid mode and sorting with the filter field. Users can also work with data in Value and Grouping panels, allowing you to change, view and sort data conveniently.
In addition to working with data in the form of editing and research, CloudBeaver allows you to export entire tables or parts of tables in ten different formats. If users have a specific task, they have three ways to offload the necessary data at once.
