Tableau is a Business Intelligence application which allows the users to create Interactive, Dynamics visualizations with the help of “VIZQL”. VIZQL stands for visualization Query Language (SQL + DL). It is the combination of a structured query language (SQL) which is used to communicate with the data and Descriptive Language (DL) is used to convert the textured data into visualizations.
- Visual Analytics: In Tableau, we can analyze anything in the form of visuals. It takes input as textual data and converts it as Visuals.
- Faster performance: Tableau gives at least performance 100 times faster than any other tools in the market currently.
- Any Data: It can analyze any kind of data right from the Data Warehouse to Hadoop and from Hadoop to Excel and even from Excel to Salesforce data.
- Business Integration: Tableau is tightly coupled with any kind of business very efficiently and accurately within a lesser amount of time.
- Web and Mobile authoring: We can securely share the analysis reports to anyone according to the needs over the web to even to their mobiles also.
In Tableau, we have 5 different components.
- Tableau Desktop: This is a place where all development work is done. It act’s as a core platform for all Tableau developers.
- Tableau server: It is a web-based component, which allows the user to share the visual analytics globally with the help of the Web Browser.
- Tableau Reader: It shares the visual analytics locally.
- Tableau Public: If we want to share anything publicly, then we have to make use of Tableau public.
- Tableau Online: It is the hosted version of “TABLEAU server” in the cloud.
Tutorial1 – Tableau Environment.
Tutorial2 – Data Connection in Tableau.
Tutorial3 – Dimensions & Measures.
Tutorial4 – Tableau Desktop environment.
Tutorial5 – Building basic visualization.
Tutorial6 – Working with multiple dimensions.
Tutorial7 – Working with multiple measures.
Tutorial8 – Geographical Analysis.
Tutorial9 – Filters.
Tutorial10 – Parameters.
Tutorial11 – Joins.
Tutorial12 – Coordinates & working with KBC data.
Tutorial13 – Data Blending