Bilytica # 1 is one of the top Tableau Services In Saudi Arabia of you may be familiar with the sensation a new Tableau feature has been published, and you can’t wait to get started with it. But how can it be put to good use? Do you have a compelling cause to begin utilizing that new feature? Or are you just interested in using it for the sake of using it? When Tableau released their new Metadata API in version 2019.3, I was in that situation. That was part of a bigger set of improvements released under the Data Management add-on, which included a variety of tools for improved metadata management with Tableau. Now, it just so happened that a couple coworkers and I were debating computed field name practices at random. How can we, as a Tableau partner, encourage and promote the usage of suitable calculated field naming conventions? One thing we can do is call attention to the incorrect usage of computation naming’s. Of course, not in a nagging manner, but rather in a humorous manner?

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Metadata API Is Aa Programmatic Interface 

This is where the Metadata API comes in. It turns out that we can retrieve the names of every calculation published on Tableau Server or Online, process and evaluate them, and then identify the ones that aren’t labelled appropriately. That’s your task for experimenting with the new function! Naturally, the Metadata API is capable of much more. It’s your one-stop shop for all information on your Tableau Services In Saudi Arabia environment’s contents, including workbooks, data sources, database connections, tables, data source and computed fields, and more. It’s the platform that makes data discovery, lineage, and effect analysis possible. It employs a language known as GraphQL, which boils down to stating what you require.

It’s especially well-suited to working with metadata because it’s focused on expressing objects’ attributes and connections. If you’re using Tableau Server, the first step is to make sure the Metadata API is turned on, which it isn’t by default. It is for Tableau Online, and everything stated below may be used in the same way.

The Architecture Of Our Solution

Experimenting with Tableau Server or Online’s Metadata API is simple thanks to the GraphiQL interface. Because you’re accessing the contents of your Tableau environment, you’ll need to be authorized. That GUI is nice and all, but it isn’t always a systematic technique to get the data we need. It’s ideal for figuring out what we need and creating the GraphQL query we’ll use; but, it’s not ideal for exporting or accessing data in a procedural and repetitive manner. When it comes to constructing this more organized approach, we have a lot of alternatives. Any tool or language capable of interacting with an API can be used. In this scenario, I choose to utilize Python using Tableau Services In Saudi Arabia Prep. Sure, a simple and self-contained Python script would suffice, but why not take use of this opportunity to try out this relatively new feature?

Understanding the idea and concepts that the Metadata API reflects was the most difficult aspect of learning about it (at least for me). Tableau’s documentation was sparse back when I was piecing things together, since it was still in beta at the time. However, its documentation and sample queries now provide a sufficient foundation for getting started with the API. In my situation, the goal was to be able to link a calculation to its creator so that I could contact them and taunt them about their bad naming convention choices.

The Script And The Flow

The Prep flow doesn’t signify much on its own. It’s essentially a wrapper for the Python script, allowing it to be scheduled and then processed. I didn’t have the “Analyze Fields” step in Prep in my initial iteration. I did utilize a formula using a lot of statements to find fields that were incorrectly labelled. In retrospect, it would have been preferable to do so in the Prep Flow. The script, on the other hand, accomplishes a few tasks and serves as the backbone of the entire operation: It establishes a connection to Tableau Services In Saudi Arabia Server’s REST API. It obtains a list of sites through the same REST API, allowing us to loop over them and obtain data from all of the Server’s sites. This is more of a personal preference, and it will not apply if you just use the default website. It obtains metadata for each site using the above-mentioned query. It joins the data into a data frame that will be returned to Prep.

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Tableau Services in Saudi Arabia
Tableau Services in Saudi Arabia
Tableau Services in Saudi Arabia
Tableau Services in Saudi Arabia

08/03/2022