What Is Tableau ?


As a leading choice in the modern business intelligence market, our analytics platform makes it easier for users to explore and manage data and discover and share information that can change business faster. business and the world.

Everything we do is driven by our mission to help people see and understand data, which is why our products are designed to put the user first, regardless of whether they are an analyst. , data scientist, student, teacher, executive, or professional user.

What Is Tableau ?

Tableau was founded in 2003 as a result of an IT project at Stanford that aimed to improve the flow of analytics and make data more accessible to people through visualization. Co-founders Chris Stolte, Pat Hanrahan, and Christian Chabot developed and patented Tableau’s core technology, VizQL, which visually expresses data by translating drag-and-drop actions into data queries via an intuitive interface.

Since our foundation, we’ve continually invested in research and development at an unmatched pace, developing solutions to help anyone working with data get answers faster and discover unexpected insights.

This includes machine learning, statistics, natural language, and intelligent preparation of the most useful data to increase human creativity in analytics. And we not only offer a comprehensive and integrated analytics platform but also proven training resources to help clients implement and evolve a data-driven culture that fosters resilience and value through results. powerful.

What is Tableau?

Tableau is the fast-growing visualization tool used for several business applications. It is a highly demanded software due to its easy access. It is widely used in Business Intelligence (BI) processes. It is designed so that all kinds of graphs, charts, and graphs with different designs can be placed at the same time for viewing. If we are talking about the type and structure of the data and how to access it to the array, the array can work on any type of data, be it structured, unstructured, or reinforcement dataset with access to any type of programming language like R, Python, SAS, etc. A person with no technical training can easily work in Tableau because Tableau does not require any technical or programming knowledge.

Tableau offers many easy-to-access features that can create highly simplified charts or tables for any complex data set. A business analyst can study any pattern, perception, flow, or trend in visually available data and then predict or solve any business problem.

Interested to begin a career in Tableau? Enroll now for Tableau Certification Training

Tableau Products

  1. Tableau Desktop

 Tableau Desktop has a rich feature set and lets you code and customize reports. From creating charts and reports to combining them to form a dashboard, all the necessary work is created on Tableau Desktop. For real-time data analysis, Tableau Desktop provides connectivity to the data warehouse and other file types. The workbooks and dashboards created here can be shared locally or publicly.Based on connectivity to data sources and publishing options, Tableau Desktop is classified as

  • Tableau Desktop Personal: Developer functionality is similar to Tableau Desktop. The personal version keeps the filing cabinet private and access is restricted. Workbooks cannot be published online. Therefore, it should be deployed offline or in Tableau Public.
  • Tableau Desktop Professional: It is very similar to Tableau Desktop. The difference is that work created on Tableau Desktop can be published online or on Tableau Server. Also, in the professional version, there is full access to all types of data. It is best suited for those who want to publish their work on Tableau Server.

2) Tableau Public

 This is the version of Tableau developed specifically for low budget users. With the word “Public” it means that the workbooks created cannot be saved locally, in turn, they must be saved in the public Tableau cloud, which can be viewed and viewed by anyone. There is no privacy for files saved in the cloud, as anyone can download and access them. This release is ideal for people who want to learn how to use Tableau and for those who want to share their data with the general public.

3) Tableau Server

The software is used specifically to share workbooks, views created in the Tableau Desktop application across the organization. To share panels on Tableau Server, you must first publish your work on Tableau Desktop. Once the job has been uploaded to the server, it will only be accessible to licensed users. However, licensed users are not required to install Tableau Server on their computers. They just need the login information with which they can check reports via a web browser. Security is high on Tableau Server and is suitable for fast and efficient data sharing within an organization. The organization administrator will always have full control of the server. The hardware and software are managed by the organization.

4) Tableau Online

 As the name suggests, this is an online sharing tool from Tableau. Its functionality is similar to Tableau Server, but the data is stored on cloud-hosted servers managed by the Tableau group. There is no storage limit for the data that can be published on Tableau Online. Tableau Online connects directly to over 40 cloud-hosted data sources such as MySQL, Hive, Amazon Aurora, Spark SQL, and more. To publish, Tableau Online and Server require workbooks created by Tableau Desktop. Data transmitted by web applications, such as Google Analytics, Salesforce.com, is also compatible with Tableau Server and Tableau Online.

5) Table reader

Tableau Reader is a free tool that allows you to view workbooks and views created using Tableau Desktop or Tableau Public. The data can be filtered, but editing and editing is limited. The security level is zero in Tableau Reader because anyone who gets the workbook can view it using Tableau Reader.

How does Tableau work?

 Tableau connects and retrieves data stored in various places. It can extract data from any conceivable platform. A simple database like Excel, pdf, for complex databases like Oracle, cloud databases like Amazon web services, Microsoft Azure SQL databases, Google Cloud SQL, and many other data sources can be retrieved from Tableau. When you start Tableau, there are ready-made data connectors that allow you to connect to any database. Depending on the version of Tableau purchased, the number of data connectors supported by Tableau may vary. The extracted data can be connected in real-time or extracted to Tableau’s data engine, Tableau Desktop. This is where the analyst and data engineer work with the data that has been extracted and develop the visualizations. Created panels are shared with users as a static file. Users receiving the panels view the file using Tableau Reader.

Tableau Desktop data can be published on Tableau Server. It is an enterprise platform where collaboration, deployment, governance, security, and automation capabilities are supported. With the Tableau server, end users have a better experience of accessing files from any location, be it desktop, mobile, or email.

Tableau is a data visualization software used for data science and business intelligence. Tableau can create a wide variety of different views to interactively present data and present ideas. It comes with tools that allow you to dig deeper into the data and see the impact in a visual format that can be easily understood by anyone. Tableau also includes real-time data analytics and cloud support. Here we will discuss the different versions of Tableau, their benefits, and how to use them. We’ll see how Tableau differs from Microsoft Excel and other spreadsheet tools.

Tableau vs. Excel:

To someone who has never used these tools in-depth, they seem to look the same. Both tools can be used to create interactive visualizations and have the tools to analyze the data. But the approach each of these tools uses to obtain information is very different. Tableau is a data visualization tool, which means that it formats data at an early stage into pictorial representations. As users search for data, the representations change accordingly. Excel, on the other hand, requires the user to first analyze the data in a tabular format and then choose the views for better understanding and understanding. Here are two main differences between Excel and Tableau:

  • In Excel, you need to know the information you are looking for and, accordingly, enter the formulas and organize the card. Although Tableau can lead you to ideas you never thought existed. Using interactive visualizations and data mining tools, you can explore data freely, without any specifics in mind.
  • Although Excel and Tableau support real-time data visualization, Excel requires programming to enable such processing, while Tableau uses a simple, interactive approach. Overall, Tableau is designed for business leaders, enabling them to find correlations in data without the need for specialist data science knowledge.

Benefits of Tableau

  • Data visualization: – Tableau is a data visualization tool and offers a complex calculation, combining data and panels to create extraordinary data visualizations.
  • Quickly create an interactive view: – Users can create a highly interactive view using Tableau’s drag and drop functionality.
  • Comfortable in implementation: – Many types of viewing options are available in Tableau, which improves the user experience. Tableau is very easy to learn compared to Python. If you don’t have a clue about programming, you can also learn Tableau quickly.
  • Tableau can handle large amounts of data: – Tableau can easily handle millions of rows of data. A large amount of data can create different types of views without interrupting panel performance. Also, there is an option in Tableau where the user can make it “ live ” to connect different data sources like SQL, etc.
  • Using another scripting language in Tableau: – To avoid performance issues and perform complex table calculations in Tableau, users can include Python or R. Using Python Script, the user can eliminate software loading by performing cleanup tasks data with packages. However, Python is not a native scripting language supported by Tableau. Therefore, you can import some of the packages or visuals.
  • Mobile and Responsive Dashboard Support: – Tableau Dashboard has a great reporting feature that allows you to customize the dashboard specifically for devices such as mobile phones or laptops. Tableau automatically understands which device is viewing the user’s report and makes changes to ensure that the accurate report is sent to the correct device.
  • Mobile Support and Responsive Dashboard:- Tableau Dashboard has an excellent reporting feature that allows you to customize dashboards specifically for devices like a mobile or laptops. Tableau automatically understands which device is viewing the report by the user and make adjustments to ensure that an accurate report is delivered to the right device.

Disadvantages of Tableau 

  • Report scheduling: – Tableau does not provide automatic report scheduling. This is why manual effort is always required when the user has to update data on the backend.
  • No custom visual import: – Other tools like Power BI, a developer can create a custom visual that can be easily imported into Tableau, so any new look can be recreated before import, but Tableau is not a full open tool.
  • Custom formatting in Tableau: – Conditional formatting from Tableau and table limited to 16 columns, which is very inconvenient for users. Also, to implement the same format in multiple fields, the user cannot do it directly for all fields. Users have to do it manually for each of them, so it takes a long time.
  • Static parameter and single value: – The table parameters are static and always select a single value as a parameter. Whenever data is changed, these parameters also need to be updated manually each time. There are no other options for users who can automate updating settings.
  • Screen resolution on Tableau panels: – The panel layout is deployed if the Tableau developer’s screen resolution is different from the user’s screen resolution.
  • Example: – If the panel is created with a screen resolution of 1920 X 1080 and displayed at 2560 X 1440, the panel layout will be slightly destroyed, the panel will not respond. Therefore, you will have to create a desktop and a floating panel differently.