The major work of Tableau software is to connect and extract the data stored in various places. It can pull data from any platform. Tableau can extract data from any database, be it Excel, PDF, Oracle, or even Amazon Web Services. Once Tableau is launched, ready data connectors are available which allows you to connect to any database.
The information separated can be associated live to the Tableau information motor, Tableau Desktop. This is where a Data Analyst or a Data Engineer works with the data that was pulled up and develop visualization. The created dashboards are shared with users in the form of static files. The users receiving dashboards view the files using Tableau Reader. (E learning portal)
The information separated from Tableau Desktop can be distributed to Tableau Server, which is an undertaking stage where joint effort, dissemination, administration, security model, and computerization highlights are bolstered. Using Tableau Server, end users can access the files from all locations, be it a desktop or a mobile phone. Want to become a master in Tableau check out this Tableau Training in Sydney.
As can be seen in the image below, Tableau Business Intelligence and Data Visualization tool has been placed in the Leader’s quadrant for seven consecutive years in the Business Intelligence and Analytics platforms by the IT research firm, Gartner.
Following are the two ways in which Data Analytics of Tableau can be described
Developer Tools: Tools used in the development, like designing charts, dashboards, reports, and visualizations, come under this category. The major Tableau products in this category are Tableau Public and Tableau Desktop.
Sharing Tools: By the name, you would have understood what these tools do. Well, they are used for sharing reports, visualizations, and dashboards which are created using the developer tools. The main products that fall in this category are Tableau Online, Tableau Reader, and Tableau Server.
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