Why should We use tableau?


Tableau Software is an American computer software company headquartered in Seattle, WA, USA. It produces a family of interactive data visualization products focused on business intelligence.

Tableau offers a wide range of connectivity options for almost any database - cloud-based or otherwise - and recently added (in 9.1) the ability to develop your own 'web data connector' to pull data from Web APIs directly.

Tableau's Server and Online offerings are effective but expensive - prohibitively so for many businesses. Their free offering for hosting work online means published works are public. This highlights a gap in Tableau’s pricing model since every Desktop user and every consumer of data for Tableau Server needs their own license, which can become very expensive.

Why should We use tableau?

There are many reasons why one should use tableau they are

It is very easy to use:

You don’t need to know the programming of any sort, all you need is some data and tableau to create reports that are visually enchanting and which tells a story which you need to tell managers or impress your professor in class.

With its revolutionary drag and drop feature, u can easily create stories or reports using just
your mouse and a little imagination. All this is possible due to the revolutionary VizQL a visual query language

VizQL

VizQL is a visual query language that translates drag-and-drop actions into data queries and then expresses that data visually. VizQL delivers dramatic gains in people’s ability to see and
understand data by abstracting the underlying complexities of query and analysis.

the result is an intuitive user experience that lets people answer questions as fast as they can think of them.

We believe that VizQL represents a foundational advancement in the area of data analysis and visualization.

Jim Gray, a Turing Award winner and a legendary figure in the field of databases, wrote about VizQL in a research highlight: “If you have ever been frustrated when trying to plot a useful
graph from a simple spreadsheet, you would appreciate the value of a system that allows users to create stunning graphs interactively and easily from large multidimensional datasets.
The fundamental innovation is a patented query language that translates your actions into a database query and then expresses the response graphically.

Because of VizQL, fast analytics and visualization are a reality. People with little or no training can see and understand data faster than ever and in ways like never before. And that’s the biggest difference of all.


Advanced In-Memory Technology- The Data Engine

Most of the data analytic software has a lot of fancy features but almost all of them fail when
it comes to operating with large amounts of data, this is where the advanced in memory
the technology of tableau is a savior to all of those who need to get reports from ever-increasing data.

The tableau data engine is a breakthrough in-memory analytics database designed to overcome
the limitations of existing databases and data silos. Capable of being run on ordinary
computers, it leverages the complete memory hierarchy from disk to the L1 cache. It shifts the 5
the curve between big data and fast analysis. And it puts that power into the hands of everyone.
Ad-hoc analysis of massive data takes place in seconds. No fixed data model is required.

Some reasons include


  • We can consider it as an entry point tool to learn for Non Programmers who want to become a Data Science Practitioner and make Data Driven Decisions.
  • For aspiring Data Scientists, who want to Dashboard focussed Data Science & Machine Learning Products
  • Easy to learn the tool, has a free version: Tableau Public Desktop tool
  • We can perform Advanced Analytics
  • We can Integrate Tableau with R or Python, that allows performing Predictive Analytics
  • Easy to perform Analytics connecting Big Data Ecosystem
  • Most Importantly allows promoting our skills in Data Science Project Portfolio creation and especially storytelling

Quickly create interactive visualization:

Using the drag-n-drop functionalities of Tableau certification, the user can create a very interactive visual within minutes. The interface can handle endless variations while also limiting you from creating charts that are against data visualization best practices.

 Enhanced user-experience using Tableau:
There are many different types of visualization options available in Tableau which enhance the user experience. Also, Tableau is very easy to learn, anyone without having knowledge of coding can easily learn Tableau.

 Tableau can handle large amounts of data:
Tableau can handle millions of rows of data with ease. Different types of visualization can be created with a large amount of data without impacting the performance of the dashboards. Also, there is an option in tableau where user can make life to connections to different data sources like SQL, etc.

 Use of another scripting language in Tableau:

To avoid the performance issues and to do complex table calculations in tableau, users can incorporate Python or R. Using Python script can take the load of the software by performing a task in packages.
To know more about these unique and advanced features of tableau training 

Comments

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