Data Collaboration with Google Fusion Tables

The latest from Google Labs is a simplified data analysis and visualization tool that allows users to collaboratively develop and manage tabular data. Traditional database systems are known for containing complex SQL queries and transaction processes. Google Fusion Tables has developed a system where the “focus is on fusing data management and collaboration: merging multiple data sources, discussion of the data, querying, visualization, and Web publishing.”
 
Collaborating on large data sets has the potential to produce inaccurate results simply through process. Duplicate copies of the data can emerge where inconsistencies occur. Google Fusion Tables provides a workspace in the cloud where you can invite multiple users to collaborate. Changes made to the data are consistent and you can also select which portions of your data to share with collaborators. An attribution feature gives credit where credit is due, so you’ll know who made what changes. Discussion features allow you to carry on conversations along rows, columns, or even specific cells.
 
The most power feature is the ability to combine multiple data sets and really see the big picture; data from independent sources can be fused on a primary key. Visualization features allow you to instantly present your data on charts and maps; Google Fusion Tables will automatically interpret locations from your data. You can also apply filters to enhance and tweak your visualizations.
 
Google Fusion Tables is fresh out of the garage, so for testing purposes you are allowed to import Microsoft Excel (.xls) and Google spreadsheets, or CSV (comma-separated values) files with up to 100 MB per data set, and a max of 250 MB per user account. You can also export data to CSV files.
 
Source: Google Research Blog

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