Tableau Certification Training Institute Insta Infotech®

• Tableau Is an excellent data visualization and Business Intelligence tool used For reporting and analyzing vast volumes Of data. It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analyzing data, To help In making better business decisions.
• Tableau Desktop has a rich feature set and allows you to code and customize reports. It would be saved to Tableau's public cloud which can be viewed and accessed by anyone. It can pull data from any platform across the organization.
• Tableau has a lot of unique, exciting features that make it one of the most popular tools in business intelligence (BI). The workbooks and the dashboards created using Tableau Desktop can be shared locally or publicly.
• This data visualization tool is used for the Business Intelligence industry. Organizations like Amazon, Walmart, Accenture, Lenovo, and so on widely use Tableau.

Data Analytics in Tableau Tool Can Be Classified Into Two Sections.

1.    Developer Tools: The Tableau tools that are used for development such as the creation of dashboards, charts, report generation, and visualization fall into this category. The Tableau products, under this category, are the Tableau Desktop and the Tableau Public.

2.    Sharing Tools: As the name suggests, the purpose of these Tableau products is to share the visualizations, reports, and dashboards that were created using the developer tools via Tableau Online, Server, and Reader.

What Kind of Data Can Be Connected with TABLEAU?

With Tableau we can connect to very diverse sources of data:

•     Locally stored data like Excel, .csv, .txt, shapeless, PDFs, JSON, and SAV. Or in our Tableau Server or Tableau Online
•     Data from databases like MySQL, PostgreSQL, MariaDB, Oracle, MongoDB, Exasol…
• Cloud-stored data from Salesforce, Snowflake, Amazon Redshift, Azure, Hadoop, SAP HANA, Google BigQuery, Alibaba…

The Main Uses and Features of Tableau:

•    Tableau Dashboard
•    Collaboration and Sharing Data via Server and Cloud
•    Business Intelligence
•    Data Visualization
•    Data Collaboration
•    Connects and extracts the data stored
•    Data Blending
•    Real-time data analysis
•    Query translation into visualization
•    To import large sizes of data
•    To create no-code data queries
•    To manage large-size metadata
•    To Manipulate the data for Data Analysis & Visualization.
•    To conclude, Tableau beats Excel in major areas like interactive dashboards, visualizations, capabilities to work with large-scale data, and many more.

TABLEAU BASIC LEVEL-1

COMPLETE PROJECTS WITH REPORTS.