11/1/2022 0 Comments Metabase bigquery![]() You’d like to simplify the appearance of your tables by hiding fields that are unlikely to be queried. You want to create custom columns without altering the underlying structure of your database. You’re looking to strengthen database security by restricting access to sensitive information. You need to access the results of a complex query on a regular basis and don’t want to type that query out every time. When you should (and shouldn’t) use database viewsĬreating views in your database is a good idea if: So, materialized views take up space in your database, but since the database doesn’t have to compute materialized views each time, they perform much faster when querying than standard database views (it’s like querying a normal table). While views require that a query be rerun every time that view is referenced, a materialized view is a precomputed view that’s saved in the database. If views are virtual tables (computed as needed), then materialized views are like regular tables in a database. That way, other users can still access and query the data they need without gaining access to sensitive fields or rows. ![]() The downside to querying views is that those queries can be time-consuming to run, especially if that view is the result of several tables or multiple joins.ĭatabase administrators also use views for security purposes, like creating views that hide certain fields that exist in the base table. By using the view as the starting point, people won’t need to run the same complex queries every time just to get to their actual question about the data. You (or a database administrator) can create a view that hides unnecessary fields in a cluttered table or joins tables to bring together relevant data. You can think of views as virtual or logical tables.ĭatabase views let you combine information from multiple tables and format that information however best makes sense for the people who need to query it. Databases compute views on demand, meaning they aren’t precomputed or materialized, and for that reason don’t occupy any storage space in the database. Then head to: and setup your first admin account.A view is a query and its results that function like a virtual table in your database. With a simple command, you can get Metabase up and running in a minute or two: docker run -restart=always -d -p 3000:3000 -name metabase metabase/metabase ![]() Improved collection management with a drag-and-drop interface.Multi-step summarizations with the Notebook editor.Filed filtering with smart filtering support that supports date, time and custom operations.Import and export to CSV, Excel and JSON.Alerts and notification with custom alerts support.Easy to setup and configure with no almost no configuration required.Responsive design which works smoothly on tablets and mobiles.Notebook editor with multiple aggregations support.Filtering, sorting, search and aggregation support.Charts, Graphs and Maps all in one package. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |