Tableau Interview Questions with Answers, Tips for Cracking Interview in Tableau 2020

Tableau Interview Questions and Answers

with Tips & Tricks for Cracking interviews in MNC Companies

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Q1. What is Tableau?

Tableau is a Business Intelligence tool for visually analyzing the data. Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts. Tableau can connect to files, relational and Big Data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is used by businesses, academic researchers, and many government organizations for visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.

Q2. How is Tableau better than the other Products ?

Introduction to Data Visualization
Nowadays, most BI users use Data Visualization Tools with their products to handle their raw data to create useful and informative data. So, in brief, Data Visualization Tools are the software tools through which the raw and unstructured data can be used as informative data to increase the Business insights and sales.
Need For Smart Data Visualization Due to the popularity of Big Data in the IT Industry, many organizations are looking for a better data management by using the best Data Visualization tools. To handle a huge amount of data and analytics, it is required for the need of smart Data Visualization tools. Tools like Tableau, Qlikview, Dygraphs, ZingChart, and FusionCharts have a better understanding in handling Big Datas. These tools can be very expensive, but because of its handling capacity, connectivity and business trends, they are very popular in the market.

Different players in the market
    There are  4 popular Data Visualization Tools for Data Analysis and Insights in the market. These are:
  1. MicroStrategy Analytics – It is a user-friendly Data Visualization software through which you can connect to any database, excel spreadsheets, blend multiple data sources and much more. It offers a suite of tools that include desktop version only.
  2. Domo – Domo offers an Online BI tool that helps the user to build their own dashboards which can be managed by the entire organization. This software is well-suited for the Cloud-app users. In addition, to view any database and excel spreadsheets, one can also view the entire data of Social Media platforms.
  3. Tableau – Unlike MicroStrategy Analytics and Domo, Tableau also connects you with the different database. The only difference is that it connects you to live data. An online, desktop and server version are available in Tableau to convert your raw data into useful business data. This allows the entire organization to work with the up-to-date visualization tool.
  4. Qlikview – Qlikview Software, offered by Qlik, is the visualization tool where you can view and analyze your data in different dimensions. It also offers the features like real- time operational BI environments for the users. Qlikview has the feature to combine the data sources from SAP, Oracle, and Excel Sheets to one.
Why is Tableau better than other Data Visualization tools?
The below 7 features make Tableau different and better from other tools:
  • Ranking – Tableau holds 1st ranking among all BI Tools. It has an average rating of 8.6.
  • Available Products – Tableau has 3 major products: Online, Desktop, and Server.
  • Top Industries
  • High Speed – Tableau offers you to make rapid business strategy and decision according to your huge data.
  • Ease and User-Friendly – Tableau is easy to use as it focuses mainly on useful data and is a user-friendly tool.
  • Access to Multiple Platforms- One can access data through a desktop tool, web browser, iPad or mobile phone to understand the useful business analytics.
  • List of Customers - Accenture, Adobe,, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, Walmart and many more.
(2a) Because of the following:
  • It’s ability to execute.
  • Easy to use
  • Rich Visualisation
  • Open Source Connectivity
  • In Memory Data - Extract
  • Slicing & Dicing

Q3. What is Tableau Extracts?

A Tableau data extract is a compressed snapshot of data stored on disk . Extracts are saved subsets of data that you can use to improve performance.. When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data. When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.

Q4. Name 1 Advantage & 1 Disadvantage of Tableau extracts.

The benefit of Tableau extract over live connection is that extract can be used anywhere without any connection and you can build your own visualization without connecting to database

Speed. In my experience with Tableau Desktop, an extract is generally much faster, especially with large data sets. An extract will do the "heavy lifting" of large, complex joins and save them in a way they can be accessed in a flash. This is useful if you've made ODBC connections that require a password (you won't have to enter it except when refreshing). If your data is relatively small and simple, a live connection may be just as fast, but live connections to big data can be quite slow.

 Speaking of passwords... Utility. Suppose your users don't have permissions to the ODBC sources you do. Using an extract will still allow them to view the snapshot of data without needing passwords.

Static Nature. An extract is a "snapshot" of the data, rather than a live view. You need to refresh the extract to get the newest snapshot. With a live connection, each time you open the viz you should see the latest data.

I'll throw in one more consideration:

Size. Because using an extract creates a second data type (a .tde), a single viz-- when paired with its .tde companion-- will take up more space. I find this a small trade-off for the processing efficiency I get in creating an extract

Q5. Tell me the charts you have worked on.