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Tables can be shared, opened, and edited by multiple users simultaneously and users are able to see field-by-field changes as collaborators make edits. All changes to table records are automatically saved to Google's servers, and a change history for records are automatically kept so past edits may be viewed and reverted to.
Google Vids (AI video editor; currently in beta testing) It used to also include Google Fusion Tables until it was discontinued in 2019. [2] The Google Docs Editors suite is available freely for users with personal Google accounts: through a web application, a set of mobile apps for Android and iOS, and a desktop application for Google's ChromeOS.
Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google. Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft Excel file formats. [5]
Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google. Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS .
Google Fusion Tables is a service for data management, integration and collaboration. You can easily upload data sets from CSV, KML and spreadsheets, and visualize the data using a variety of tools. Users can merge data from multiple tables and conduct detailed discussions about the data (on rows, columns and even cells).
Nested tables must start on a new line. In the following example, five different tables are shown nested inside the cells of a sixth, main table. None has any header cells. Automatically, the two tables |A| and |B|B| are vertically aligned instead of the usual side-by-side of text characters in a cell.
Tables are split into multiple tablets – segments of the table are split at certain row keys so that each tablet is a few hundred megabytes or a few gigabytes in size. A bigtable is somewhat like a mapreduce worker pool in that thousands to hundreds of thousands of tablet shards may be served by hundreds to thousands of BigTable servers.
A right join is employed over the Target (the INTO table) and the Source (the USING table / view / sub-query)--where Target is the left table and Source is the right one. The four possible combinations yield these rules: