Tableau is a popular name among data analysts, programmers, and of course among the Business Intelligence industry. But have you ever asked yourself why is it so popular? There are a plethora of data visualization tools available in the market that will help you to represent raw data more directly.
Tableau is one such BI Tool in the field of data visualization, which is used by the Business Intelligence industry today. In this article, we have also prepared the top 20 well-researched Tableau Interview Questions. Before you make a move for any Tableau interview, make sure to go through these questions and answers thoroughly.
Why Is Tableau Considered As The Most Prominent Data Visualization Tool?
One of the most significant reasons for the popularity of Tableau is its fast performance. The tool is used frequently as it can analyze data faster than any other data visualization tool.
In addition to that, the visualizations are produced as worksheets and dashboards, which can also be updated regularly. You can create a personalized dashboard in Tableau, and it will provide an actionable insight that will help you to expand your business rapidly. Let us take a look at some factors for which, the tableau is considered as the hottest BI Tools of 2020.
- Excellent Visualization Tableau comprises of few exceptional in-built features with which you can create various visualizations. You can also work with ample unordered data and acquire great context. Moreover, Tableau offers many ways by which you can explore the data and drill them within a couple of minutes.
- Demonstrated Insights While working with Tableau in analyzing future data, no organization has to keep any future goals in their minds. It means that you can observe data and explore visualizations from different approaches. You can also create a frame for ‘what-if’ queries with hypothetical visualizations. Also, with the add-on components for analysis and comparison, you may work on the data as per your convenience.
- Convenient Approach One of the most vital features of Tableau is the user-friendly approach. The function mainly demonstrates the capability of an individual to work with no coding or technical knowledge. Any beginner can work without any certain set of skills because Tableau mostly offers its features in the form of drag-and-drop. Also, each visualization in Tableau is self-depicting and in-built.
- Easy Set-up for Data Tableau can add any new data sets quickly and without any hassle. You may blend the data automatically with Tableau using standard fields.
- Supports Various Types of Data Sources In today’s data-driven generation, data can be extracted from any sources. Thus, this is the reason why Tableau has become a must-add factor in the process by most enterprises. It is the only feature that makes Tableau more robust and powerful than any other Analytics tools and Business Intelligence.
The tool lets you connect with various data warehouses, big data, data sources, non-relational, spreadsheet data cloud files, and many other types of data. Tableau is such a tool that can blend any kind of data to help any business generating eye-catchy visualizations.
So, if you are planning for your Business Intelligence career, then you must become well-versed with Tableau scenario based interview questions and answers.
Benefits of Tableau Certification
Tableau certification is the key to grow your career in the field of Data Science. The Tableau certification is acceptable for analyzing for data visualization. As a Tableau professional, you are expected to create and design a Tableau dashboard.
Therefore, this certification creates opportunities for users to use essential skill development. If you are serious and planning to move forward with Tableau, then along with Tableau certification, you must prepare for Tableau interview with Tableau practical interview questions.
The two primary streams-
- Tableau Servers
- Tableau Desktop
The Tableau Certification consists of delta exam, certified professionals, qualified associate, etc.
Job Roles in Tableau
Are you confused about which is the best-suited Tableau job role for you? Well, in Tableau’s career, you get enough options to select as a job role. Here are some options which you might choose as a Tableau job role as per your convenience and skills:
- Business Intelligence Developer
- Data Analysts
- Business Intelligence Manager
- Business Intelligence Analysts
- Tableau Consultant
- Business Analysts
Today Tableau is enlarging the automation of cataloging, mapping, natural language process, cloud, collaboration, and many more. For the performance of the big data, the data engines design its significance. Today small IT companies are often seen suffering from issues in Cloud Computing Trends. Experienced Tableau developers create the solution of data visualization to enhance the business process. Therefore, Tableau Certification is associated with various types of examinations.
Q1. Define Tableau
Tableau can be defined as a Business Intelligence or BI tool which is used for visualizing and analyzing the data. Tableau helps to connect with files and relational data sources to collect data from them and process them.
- It simplifies the raw data and represents them in a more understandable format.
- Tableau analyzes the data robust and fast.
- Any user can build and distribute a shareable and interactive dashboard.
- It depicts the variations, trends, and density of the data. And eventually, convert the data in charts and graphic form.
- Tableau allows real-time collaboration and data blending, and that makes Tableau a unique BI tool.
- Tableau allows you to collect the respective data.
The diagrammatic representation and visualization of Tableau are so easy that it can be read by the working staff of the organization at different levels.
Q2. Mention the key features of Tableau
Here are some of the coolest Tableau features:
- Real-Time Analysis
- Share Dashboards
- Data Blending
- DAX Analysis Function
- Dashboard Commenting
- Embed Dashboard Within
- Doesn’t Require Any Technical Knowledge
- Data Notifications And Data Collaboration
- Mobile-Ready Dashboards
- List Of Native Data Connectors
- Patented Technology From Stanford University
- Tableau Reader For Data Viewing
- Highlight And Filter Data
- Import Data Of All Size And Ranges
- Create No-Code Data Queries
- Toggle View And Drag And Drop Option
- Translate Queries To Visualization
Q3. State the primary difference between Tableau and Traditional BI Tools
Listed below are some essential differences between Tableau and BI Tools:
Tableau– has no dependencies.
Traditional BI Tools– Its architecture has hardware limitations
Tableau– it is based on the associative search that makes Tableau fast and dynamic.
Traditional BI Tools- it is based on several complicated set of technologies.
Tableau– it supports memory while using advanced technologies.
Traditional BI Tools- it does not support in multi-thread, order propecia Canada memory, multi-computing like functions.
Tableau- it uses a wide range of predictive analysis to perform various business operations.
Traditional BI Tools- it comprises of a predefined view of data.
Q4. Briefly describe the Tableau dashboard
The Tableau dashboard allows you to compare multiple types of data simultaneously. If any modification takes place in the data, the dashboards and datasheets get connected, which eventually reflects in dashboards. It is one of the most effective approaches to analyze and visualize the data.
Q5. Define data visualization in Tableau
By data visualization, we mean the graphical representation of any information or data. We may use visual objects such as charts, graphics, bars, and many more. Data visualization tools give you access to observe and understand the data in a simple manner.
Q6. What is a dual-axis?
We use the dual-axis to see two axis in a single graph. The dual-axis allows you to make a comparison between two quantities at the same time. There is an ample number of websites that use dual-axis to observe the growth rate and comparison.
Q7. What are the various types of connections in Tableau?
Mainly there are two primary connection types in Tableau. Let us take a look at them.
Live- it can build a direct connection to the data source, and the data will be collected directly from the tables. Therefore, the data will remain up to date consistently. However, it also affects the access speed significantly.
Extract- it is a snapshot of data. It is extracted from the data source and placed into Tableau repository. The snapshot can be refreshed incrementally or complete periodically. You can schedule it in Tableau server.
Q8. Mention the Tableau File Extensions
Here is a list of few File Extensions that support in Tableau:
- Tableau Map Source tms
- Tableau Workbook twb
- Tableau Preferences tps
- Tableau Data Extract tde
- Tableau Bookmark tdm
- Tableau Data Source tds
- Tableau Packaged Workbook- twbx Zip File That Contains twb And Other External Files
- Tableau Packaged Datasource tdsx
Q9. What do you mean by groups in Tableau?
A group in the tableau is the combination of members that are capable of making categories of higher levels. If a certain set of views shows the average score as a major, you can group them to create major categories.
Q10. What do you mean by Sets in Tableau?
Sets are customized fields that define data subset based on several computing conditions. To understand better, let’s take an example as it may contain customer’s details having sales above a certain predefined threshold. These sets are unique and update as data changes. It is based on a certain data point in your view.
Q11. What do you understand by Tableau Data Server?
Like any other server, the tableau data server also acts as a mediator between users and their data. It allows users to upload and share extracts of data. It also preserves database connection, and reuse computations and field metadata.
Q12. What do you mean by filters in Tableau? And How many types of filters?
Like their literal meaning, filters in Tableau works to filter unnecessary and redundant data. It shows only data of your concern. There are three major types of filters in Tableau.
- Context filter
- Data source filter
- Quick filter
- Normal filter
Q13. Brief the different types of filters in Tableau
Quick Filter- If you want to filter each worksheet on the dashboard where the values are changing dynamically in a predefined range, a Quick filter is the most suitable.
Normal Filter– It is the simplest form of filter which restricts the data from the database. Its function is based on predefined measures or dimensions. It can be created simply by dragging the field into the filter shelf.
Context filter- It applies to the data transferred to each worksheet individually. It creates temporary tables which are used in computing charts. It includes all the values which cannot be filtered by any other filters.
Q14. What makes context filter superior from others?
In case you create a context filter, Tableau creates a temporary table for a particular set of filters. They act as a cascade parameter on the context filter. For example, if you create context filters on two particular regions, then tableau will create a temporary table for those two region’s data. And if you have other filters, they applied on the data of those two regions if you have context filter.
Q15. Point out the disadvantages of the context filter?
The following are the major disadvantages of the context filter.
- It is not easy to change the context filter frequently. If so, then the whole database must be recomputed, and you need to rewrite the temporary table. It slows down the performance.
- If you want to set a dimension to the context filter, Tableau creates a temporary folder, which needs to reload whenever you initiate the view. For Access, Excel, and text data sources, the temporary table can easily be created in access table format. But MySQL, SQL Server, and Oracle data sources you need to take permission each time to create a temporary folder on your server. More importantly, for multidimensional data sources, you cannot create a temporary table. Remember, this is the most vital and frequent question asked among other Tableau Interview Questions.
Q16. What do you understand by the Tableau Data Engine?
Loading of entire data sets into memory is quite difficult. Tableau data engine comes with the perfect solution to this problem. It is an analytical database that is designed for the purpose to achieve instant query response, predictive performance, and seamless integration into the existing database.
The tableau data engine is used to speed up different functions like data import, indices creation, and sorting. It is helpful in the conditions, particularly when you are working with a large amount of data.
Q17. How is Tableau better than all other available visualization tools?
Visualization tools are used by many industries to extract informative and useful data from raw data. In short, these tools are the software which analyses and draw useful information from raw and unstructured data to establish business insight and increase sales. Tableau is the best visualization tools in comparison to other players in the market in many ways.
- Availability- Tableau is available as three major products – Desktop, online, and server.
- Ranking- Tableau holds number one rank with the highest rating.
- Speed- Generally, other visualization tools didn’t work efficiently on large data also getting rapid business decisions.
- Accessibility- It is accessible on different platforms like a web browser, desktop, and cell phones, even on an iPad.
- User-friendly- It is easy to use and focuses on only the useful data after filter all the redundant.
- Customer base- Tableau has the largest customer base, which includes private commercial giants to government organizations. Some popular Companies are Amazon, Coca-Cola, Charles Schwab Corp, Dell, Citigroup, Ferrari, US Army, and Navy, and many more. The list is countless.
Q18. Show how to create a computed field in Tableau?
Go to data pane on the right side of the dashboard, and click on the drop-down. Select create and then calculated field. It opens the calculation editor. Now name the new field and create a formula.
Q19. Brief about all the Tableau products
There are five major Tableau products.
- Tableau Server- It is an enterprise-level software. To publish the dashboard, you need desktop Tableau. But to circulate this dashboard throughout the organization, you need to have a web-based Tableau server. It works rapidly on the live connection.
- Tableau Desktop- It is easy to use and self-service visualization tools and business analytics. The significant feature of this product is to direct connection to data from the data warehouse for live data analysis. Tableau desktop helps users in performing queries without writing any code. You can import all the data from everywhere to the Tableau data engine, where you can complete the analysis to visualize the interactive dashboard.
- Tableau Online- With this product, you can create a dashboard and share it online with anyone. It is based on the faster approach of visualization and business analytics.
- Tableau Public- It is the free available product where you can create a dashboard, but you need to put it on the Tableau server to make the visual available for anyone.
- Tableau Reader- It is a free desktop application, which can be used to see the visualization made on Tableau desktop. It restricts any edit or any kind of interaction, but you can filter or drill the data.
Q20. What are the different components of the dashboard in Tableau?
- Image Extract
- URL Action
Top 10 Reasons Why Tableau Takes All the Credits
- Tableau is an application that can fit any type of business
- Tableau is the foremost and ultimate skillset for data science
- Tableau integration is quick, easy and hassle-free
- Tableau is user friendly even to those having minimum technical knowledge and required skills.
- Coding comes as optional with Tableau. So, if you want, you can skip the coding part while working with Tableau.
- You can marry Excel, but you cannot resist yourself from falling in love with Tableau
- Tableau lets you explain all the data reports easily to anyone.
- The community of Tableau is enormous.
- Install Tableau anytime without giving a second thought.
- Tableau influences the power of Data.
It is assumed that in upcoming years the world will produce fifty times the amount of data that was produced in the years 2011, 2012. It will also consume seventy-five times the number of information sources than the data collected in the year 2011. For this, people must bring the power of data at their fingertips. And that is what we are expecting from Tableau. If you are looking for a successful career in the Business Intelligence industry, then you must begin your preparation with Tableau Interview Questions.
However, these data favor the advancement of humans by proving with tremendous opportunities. But the biggest question that lies in front of us is how to turn the opportunities into reality?
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