Hire Tableau Developers

Before you hire a developer, check out their knowledge of Tableau by asking a few crucial questions based on the tech core. We compiled some of them to make it easy for you to judge their expertise.

1. How is load testing usually performed in Tableau?

   To determine the server’s capability with the environment, data, workload, and utilization, Tableau does load testing. Because usage, data, and workload fluctuate with each new user, upgrade, or content item created, it is recommended to perform load testing at least three to four times every year.

   Tableau developed Tabjolt to do load and performance testing using a point-and-run interface designed for Tableau servers. Tabjolt:

   • Automates the loading of custom loads
   • Reduces reliance on script creation and maintenance
   • Simply raises the number of nodes in the cluster, scales linearly as the load increases.

2. What is Tableau Data Engine?

   A database for analytical purposes that computes immediate query results, server prediction analysis, and integrated data. When one needs to build, renew, or extract a query, the data engine is helpful. It can also be applied to cross-database joins.

3. What types of filters does Tableau have?

   Tableau offers six different categories of filters:

   • Extract Filter: This filter extracts a segment of the information from the data source.
   • Dimension Filter: This filter only applies to non-aggregated data (discrete).
   • Data Source Filter: By forbidding people from reading sensitive data, this filter lowers the volume of data streams.
   • Context Filter: Using Tableau defaults, this filter generates datasets.
   • Measure Filter: This filter uses different operations, such as sum, median, average, and others.
   • Table Calculation Filter: This filter is used following the creation of the view.

4. What do Tableau Server's schedules and extracts offer?

   The subsets of data created from data sources are known as data extracts. Schedules are planned updates made to extracts after the workbook is published. The data is updated as a result. The server admins have entire authority over the schedules.

5. In what ways do Tableau files differ?

   • Workbooks: Workbooks include worksheets and/or dashboard components.
   • Bookmarks: has only one worksheet, making it simpler to share.
   • Packaged Workbooks: Consists of a workbook as well as background images and supporting local file data.
   • Data Extraction Files: Extract files that only contain a specific amount of data.
   • Data Connection Files: A compact XML file including different connection details.

6. How many rows can Tableau use at once in the maximum?

   Although Tableau has petabytes of data, it smartly uses only the rows and columns that one needs to extract for a specific purpose, hence the maximum number of rows or columns is illimitable.

7. Describe the differences between published and embedded data sources in Tableau.

   The specifics of the data that the developer wants to import into Tableau are known as connection information. Anyone can prepare an overview of it before sharing it.

   • Published Data Source: It includes connection details independently from any workbooks.
   • Embedded data source: It has connection details that are attached to a workbook.

8. What does the DRIVE Program Methodology consist of?

   An organizational framework for data analytics resulting from enterprise deployments is created by the DRIVE program methodology. The continuous drive methodology uses agile techniques that are quick and efficient.

9. When would you utilize Tableau's Joins vs. Blending?

   Although the two terms seem equivalent, there is a variation in their significance and use in Tableau:

   • When combining two or more tables from the same data source, join is utilized.
   • Data from several data sources, such as Oracle, Excel, SQL server, etc., are combined using blending.

10. What distinguishes Tableau from other competing programs like QlikView or IBM Cognos?

    The following are some reasons that Tableau differs from QlikView and IBM Cognos:

    • Tableau is a user-friendly application for data visualization that makes story creation simple with simplified drag-and-drop methods. The users can examine data interactions by using BI tools like QlikView or Cognos, which transform data into metadata. Choose Tableau if the presentation is about presenting facts in beautiful visualizations. If not and one might require a complete BI platform, use Cognos/QlikView.
    • Comparing Tableau to complex BI systems like Cognos, it is simpler to retrieve data details. With Tableau, any member of the team, including a salesperson, can quickly read the data and provide insights. However, Cognos only values and welcomes people who have a deep understanding of its tools.