Tableau Interview Questions Set 4
1. What is Tableau Software?• Tableau is business intelligence software that allows anyone to easily connect to data, then visualize and create interactive, sharable dashboards. It’s easy enough that any Excel user can learn it, but powerful enough to satisfy even the most complex analytical problems. Securely sharing your findings with others only takes seconds.
2. What is Tableau Server?
• Tableau Server is browser- and mobile-based insight anyone can use. Publish dashboards with Tableau Desktop and share them throughout your organization. It’s easy to set up and even easier to run.
3. Explain the integration of Tableau with R?
• R is a popular open-source environment for statistical analysis. Tableau Desktop can now connect to R through calculated fields and take advantage of R functions, libraries, and packages and even saved models. These calculations dynamically invoke the R engine and pass values to R via the Rserve package, and are returned back to Tableau.
• Tableau Server can also be configured to connect to an instance of Rserve through the tabadmin utility, allowing anyone to view a dashboard containing R functionality.
• Combining R with Tableau gives you the ability to bring deep statistical analysis into a drag-and-drop visual analytics environment.
4. What is the Difference between quick filter and Normal filter in tableau?
• Quick filter is used to view the filtering options and can be used to select the option. Normal filer is something you can limit the options from the list or use some conditions to limit the data by field or value.
5. How do I automate reports using Tableau software?
• You need to publish report to tableau server, while publishing you will find one option to schedule reports.You just need to select the time when you want to refresh data.
6. How is Tableau so fast when working with databases?
• Tableau compiles the elements of your visual canvas into a SQL or MDX query for the remote database to process. Since a database typically runs on more powerful hardware than the laptops / workstations used by analysts, you should generally expect the database to handle queries much faster than most in memory BI applications limited by enduser hardware. Tableau’s ability to push computation (queries) close to the data is increasingly important for large data sets, which may reside on a fast cluster and may be too large to bring in memory.Another factor in performance relates to data transfer, or in Tableau’s case resultset transfer. Since Tableau visualizations are designed for human consumption, they are tailored to the capabilities and limits of the human perception system. This generally means that the amount of data in a query result set is small relative to the size of the underlying data, and visualizations focus on aggregation and filtering to identify trends and outliers. The small result sets require little network bandwidth, so Tableau is able to fetch and render the result set very quickly. And, as Ross mentioned, Tableau will cache query results for fast reuse.The last factor involves Tableau’s ability to use in memory acceleration as needed (for example, when working with very slow databases, text files, etc.). Tableau’s Data Engine uses memory mapped I/O, so while it takes advantage of in memory acceleration it can easily work with large data sets which cannot fit in memory. The Data Engine will work only with the subsets of data on disk which are needed for a given query, and the data subsets are mapped into memory as needed.
7. What is Tableau Desktop?
• Tableau Desktop is a data visualization application that lets you analyze virtually any type of structured data and produce highly interactive, beautiful graphs, dashboards, and reports in just minutes. After a quick installation, you can connect to virtually any data source from spreadsheets to data warehouses and display information in multiple graphic perspectives. Designed to be easy to use, you’ll be working faster than ever before.
8. How Does Tableau Work?
• While Tableau lets you analyze databases and spreadsheets like never before, you don’t need to know anything about databases to use Tableau. In fact, Tableau is designed to allow business people with no technical training to analyze their data efficiently.Tableau is based on three simple concepts:
– Connect: Connect Tableau to any database that you want to analyze.
Note that Tableau does not import the data. Instead it queries to the database directly.
– Analyze: Analyzing data means viewing it, filtering it, sorting it, performing calculations on it, reorganizing it, summarizing it, and so on.Using Tableau you can do all of these things by simply arranging fields of your data source on a Tableau worksheet. When you drop a field on a worksheet, Tableau queries the data using standard drivers and query languages (like SQL and MDX) and presents a visual analysis of the data.
– Share: You can share results with others either by sharing workbooks with other Tableau users, by pasting results into applications such as Microsoft Office, printing to PDF or by using Tableau Server to publish or embed your views across your organization.
9. What is the difference between tableau 7.0 and 8.0 versions.
• New visualizations are introduced like tree map bubble chart and box and whisker plot
• We can copy worksheet directly from one workbook to another Workbook
• Introduced R script
10. Explain the features of Tableau 8.3?
– With Kerboros support, Tableau 8.3 advances enterprise-grade data analysis with these enhancements:
• Provides seamless, single sign-on experience from Tableau client to back-end data sources
• Protects sensitive data with delegated access and viewer credential management
• Connects to live data sources through stable, automated back-end authentication
• Leverages existing IT investments in enterprise-grade authentication and data security
• Supports smart card authentication
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