To answer this, let’s first analyse the bigger picture from a technological perspective to understand why we would want to do that. Hence, we could pose ourselves the following question: So, to sum up, we can say that on one hand we have the very well established structured query language, SQL, and on the other – we have Tableau, which is a drag-and-drop software tool allowing you to create awesome visualizations.Ī quick side note: If you're curious to learn more about Tableau, check out our tutorials Connecting Data Sources to Tableau, How to Navigate through the Tableau Interface, and Tableau vs Excel - When to Use Tableau and when to Use Excel. Moreover, this can happen very quickly – just by dragging and dropping the relevant objects you see on the interface. Its goal is to help users project their data by offering a huge variety of data visualization tools to choose from. Tableau is an absolutely wonderful, highly intuitive software that is easy-to-understand even for beginners. Or, if you haven’t, let me say in my defense, that you should have! If you are interested or working within the sphere of business intelligence and data science, I can bet that you have. Let alone that there are so many people either using this language or basing their work involving data manipulation on SQL… Therefore, I can assert that there isn’t a programmer around the globe that hasn’t at least heard of SQL. Furthermore, its efficient coding structure has become a ‘role model’ to many other programming languages. This means it is a tool for handling large amounts of data stored in databases. More precisely, the s tru ctured query language, or SQL, is a language that has been specifically designed for the domain of relational database management systems. If you have ever questioned Google about the most popular programming languages around, you will have definitely seen SQL among the list of answers. SQL and Tableau Have you heard about SQL?
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