![]() ![]() It allows you to quickly visualize, clean, merge, and prepare your data for analysis.Įven though Prep has been a long-praised feature, it lacked the ability to export to external databases, meaning you could only export your data in CSV format. Tableau Prep simplifies the process of creating Tableau Extracts and CSVs from data prep flows. And, of course, 2020.3 wouldn’t dare to be an exception!Ī new bunch of features and enhancements came with Tableau 2020.3, and we’re excited to share with you our top 10! Here you are: 1 Code directly into Tableau Prep ![]() So, how do you get started? Contact us to have a chat.This year, we’ve already covered our top 10 new features for both Tableau 2020.1 and Tableau 2020.2 here at Empirical. In the end, you can add a final output step where you can specify and save your data to a concrete file and location in your hard drive. Enables you to share your data securely – You can share your data sources securely using Tableau Server or Tableau Online and foster an environment where everyone in your organization works with governed data.It can also save your flows to share them with other people or for future use in case your data is updated. This reduces friction and helps you bridge the gap between Data Preparation and analytics, for better business results. Let’s you enjoy the flow – It’s easy to open your output with Tableau Desktop or share it with others via Tableau Server or Tableau Online.Tableau Prep can connect to 18 different file/database types and can write to TDE, Hyper, or CSV. Clicking on a data point highlights other associated fields in the other columns giving you an idea about the data connection made. Also, the visual representation of your data in the Profile pane lets you view data at the record level. This lets you benefit from the existing database investments for fast flow execution performance. You can connect to more data – The Data Preparation tool intelligently pushes operations down to the database when possible.You can use the EFL tool’s smart features to fix these common Data Prep challenges and consider it as a fast tool because it likes to use its hyperdata engine whenever possible. This is extremely helpful in combining several common names in a column that are listed separately due to a spelling issue or non-standardized naming. ![]() It uses a phonetic algorithm to index words using their pronunciation.
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