Tableau: Uses and Application - Rise Networks

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Tableau: Uses and Application

What is Tableau?

In the Business Intelligence Industry, Tableau is a strong and rapidly developing data visualization application. It aids in the simplification of raw data into a format that is simple to comprehend. Tableau assists in the creation of data that is understandable by experts at all levels of a company. Non-technical people can easily develop customized dashboards.

With Tableau, data analysis is quick, and visuals are created in the form of dashboards and workbooks.

Tableau software’s finest features are:

-Blending of Data

-Analyses in real-time

-Data collaboration

The beautiful thing about Tableau software is that it can be used without any technical or programming knowledge. The tool has piqued the curiosity of people from many walks of life, including businesses, researchers, and various industries.

Tableau Product Suite

The Tableau Product Suite consists of

  • Tableau Desktop
  • Tableau Public
  • Tableau Online
  • Tableau Server
  • Tableau Reader

How Tableau Work

Tableau links and extracts data from a variety of sources. It can get data from any platform you can think of. Tableau can extract data from a simple database like Excel or a complicated database like Oracle, as well as databases on the cloud like Amazon Web Services, Microsoft Azure SQL database, Google Cloud SQL, and a variety of other data sources.

Tableau comes with ready-to-use data connectors that let you to connect to any database. The number of data connectors supported by Tableau varies depending on the version of Tableau you have purchased.

Tableau Desktop’s data engine, Tableau Desktop, can be used to connect the retrieved data live or extract it.

Tableau Uses

Following are the main uses and applications of Tableau:

-Business Intelligence

-Data Visualization

-Data Collaboration

-Data Blending

-Real-time data analysis

-Query translation into visualization

-To import a large size of data

-To create no-code data queries

-To manage large size metadata

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