Question 1

How is Tableau different from other BI tools?

Accepted Answer

Other BI tools require users to write SQL queries or learn a proprietary scripting language to extract data for analysis. Tableau requires no such queries or scripts – users can simply point and click to analyze data stored in almost any format. In addition, Tableau’s visualizations are highly interactive and allow users to drill down into the data to uncover trends and patterns that would be difficult to spot in raw data.

Question 2

What are the system requirements for Tableau?

Accepted Answer

You can install Tableau Desktop on Windows or Mac operating systems. Tableau Server can be installed on Windows, Linux, or Amazon Web Services (AWS). For a full list of system requirements, please visit tableau's official website.

Question 3

How do I get started with Tableau?

Accepted Answer

If you are new to Tableau, we recommend starting with the free Tableau Desktop Personal Edition. It will allow you to connect to your data, create visualizations, and share them with others. Once you have mastered the basics of Tableau, you can upgrade to the Professional Edition or purchase Tableau Server licenses.

Question 4

Can I try Tableau for free?

Accepted Answer

Yes! Tableau offers a free 14-day trial of Tableau Desktop Professional Edition and a 30-day trial of Tableau Server.

Question 5

What data sources does Tableau support?

Accepted Answer

Tableau can connect to almost any data source, including relational databases, cubes, cloud databases, and spreadsheets.

Question 6

Can Tableau read JSON data?

Accepted Answer

After connecting Tableau to a JSON file, Tableau will scan the data in the initial 10,000 rows of the JSON file and deduce the schema from the specific process. Tableau rolls out the data through the inferred schema. The JSON file schema levels can be found in the Select Schema Levels dialogue box. If there are 10,000+ rows in your JSON file in the Tableau Desktop, you can use the "Scan Entire Document" option to design a schema.

Question 7

Can Tableau send automated emails?

Accepted Answer

When data hits the significant thresholds for your business, the data-driven alerts automatically send notifications to key people you have mentioned. Note that the data alerts can be either delivered as an email or a notification in your Tableau site/ a connected Slack workspace via the Tableau for Slack application. You can set up the Tableau URL Action to send automated emails to trigger on Menu. It helps the user to make a thoughtful decision for sending the email.

Question 8

Can Tableau handle big data?

Accepted Answer

Tableau is an all-inclusive data analytics platform that lets you prep, evaluate, and share your big data insights. Tableau is adroit in self-service visual analysis that lets people ask new questions about the administered big data and easily share the relevant insights in the organisation. Tableau allows you to determine the value in your company’s data and prevailing investments so that the company gains maximum benefit from its data. From manufacturing to finance, Tableau assists businesses in understanding Big Data.

Question 9

Can Tableau connect to Google sheets?

Accepted Answer

Yes, to connect Tableau to your Google Sheet, you need to choose the option under “More Servers…” in the Connect menu. After you enter your Google Sheets credentials, the screen shows the list of available sheets. Now choose your sheet and click on “connect.” In case there are plenty of Google Sheets, and you want to search a particular sheet, use the search bar to filter the results. To ascertain that this is the sheet you are searching for, you can open it in a web browser by choosing the “open in Google Drive” link under the preview pane.

Question 10

Can Tableau read parquet files?

Accepted Answer

Yes, the CData ODBC driver for Parquet allows you to integrate Parquet data available in Tableau dashboards. This driver for Parquet lets you access live Parquet data in the business intelligence tools like Tableau. These drivers provide exceptional performance for interrelating with live Parquet data in the Tableau platform, owing to the optimised data processing developed into the driver. When complex SQL queries are issued from Tableau to Parquet, the driver directly empowers supported SQL operations such as aggregations and filters to Parquet.

Question 11

Where is Tableau used?

Accepted Answer

Since its introduction, Tableau has been the data visualisation tool used in the Business Intelligence industry. Tableau is used in organisations like Amazon, Walmart, Lenovo, Accenture, etc. It fulfils various types of requirements of the organisations by obtaining its data analysed in depth. Tableau provides excellent visual dashboards, supports multiple Database functionalities, and helps generate custom data reports.

Question 12

How Tableau BI can assist in business growth?

Accepted Answer

Tableau allows businesses to make decisions through the data visualisation features accessible to business users irrespective of their industry and background. It helps businesses to stay updated with the constantly developing technology and overtake their competition via an innovative way of envisioning their data. Tableau BI offers instant insight by transforming data into visually appealing, interactive views in the dashboards. An easy-to-use drag-and-drop interface helps businesses get insights in a few moments instead of months or years.

Question 13

What are Tableau functions?

Accepted Answer

Various function categories exist in Tableau. Each category has various functions that help you to perform calculations and visualise the data easily and quickly according to your requirements. These functions are divided into six types based on the type of data to be visualised, aggregation, and the logic process needed in the visualisation of the tableau functions. They are String Function, Number Function, Date Function, Aggregate Function, Logical Function, and Type Conversion Functions.

Question 14

What is Treemap in Tableau?

Accepted Answer

In Tableau, Treemap is a fundamental chart type denoted by nested rectangular boxes. It is useful for enormous datasets for visualisation. It can mark the hierarchical data for carrying out comparative analysis. In other words, it is a significant chart to assess the anomalies in a data set. Treemap has certain limitations, like it offers limited customisation features to the user and is inefficient at representing the data ranges.

Question 15

What is the Tableau Server?

Accepted Answer

Tableau Server is an online platform to organise and store all the Tableau data sources, workbooks, data sources, and related tableau data is called Tableau Server. Tableau has developed the server to ensure all the features of Tableau can be used. The workbooks should not always be opened and downloaded on the desktop if the Tableau features are used. Moreover, Tableau Server provides access and authorisations to protect the files against hackers. Employees can collaborate on a project and thus saves time.

Question 16

How does Tableau work?

Accepted Answer

Firstly, Tableau connects to the data sources and then extracts data into sources. After that, it works on data visualisation. Two types of data extraction are Live and Extract. Live data connectivity focuses on extracting live data. For that, an analyst works on data and shares a dashboard with the user. Consequently, the users can read the data through the Tableau reader. The second type, i.e. data extraction, can be performed from Tableau Desktop and published on Tableau Server. Consequently, users can access data through the Tableau server from any place.

Question 17

What are Tableau data sets?

Accepted Answer

Tableau data sets are heterogeneous data derived from different data sources and then used for data visualisations. Dataset is part of any business process associated with business intelligence (BI). After the data set is ready and imported to Tableau’s workbook, it is simple to manage the data quality and computed values. Commonly used features on the Tableau data set are preparing standard and drill-down visualisations and adding bands, reference lines, boxes, and distributions for condition-specific documentation.

Question 18

What is a hierarchy in Tableau?

Accepted Answer

The hierarchy in Tableau places entities at different levels. It means that there is a dimension or entity under which further entities exist as levels. In Tableau, you can prepare hierarchies by taking one dimension as a level within the principle dimension. The hierarchy is created on the main dimension. The concept of hierarchies is handy for analysis. The reason is it is not required to take all the dimensions separately in the analysis. Using evocative hierarchies in the analysis is valuable because we can expand from and compress to the main dimension as required.

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