Data structure basics
In this section, you will understand what the entry points for data ingestion into Tableau are. There are many data components,, and each data component needs to be understood to grasp the context. You will learn about Tableau’s data structure and how it is prepared for data visualization. You will require this knowledge to understand related questions in the exam.
Format
Data needs to be in a spreadsheet-like structure. That structure can come from a variety of sources, including a CSV/text file, a server (for example, Amazon Redshift, Microsoft SQL Server, or Tableau), and many more.
To get the best out of the data source, make sure all the rows and columns are accounted for. There should be no blank rows on top so that Tableau does not create false headings or blank rows on the left of the table, which will create false fields – however, those false fields can be cleaned up with Data Interpreter in Tableau. Since many people will be using...
