#TABLEAU PREP OUTPUT TRIAL#
To get started using Tableau Prep, download a free trial here.Blog post written by Pablo Saenz de Tejada Tableau Prep OverviewĪll the information in this post is based on the Project Maestro Beta 4 release. Also, for certain use cases, Tableau Prep will eliminate the need for complicated and costly ETL tools. Tableau Prep gives data professionals a tool to cleanse and shape their data with a similar experience to Tableau Desktop. We simply add an output step at the end of your Flow and click the “play symbol.”Īfter running our Flow, we can load the Hyper data extract into Tableau Desktop or publish it to Tableau Server as a Published Data Source. Loading data into Tableau after you’ve prepared it is seamless. Since Prep is iterative, if anything doesn’t look right, it’s easy to undo changes via the Changes Pane. Users can customize join conditions, select join types, and view the results of the join all within Prep. Prep allows users to easily aggregate and dis-aggregate data to get it to the same grain of detail prior to joining. Sometimes the data you join may be at differing levels of granularity. In the view below, we see the results of our Union and can immediately identify any mismatched fields or level of aggregation issues between our datasets. We can easily union and join datasets in Prep. Once we’ve cleaned our data, we need to put it together. We can rename these ‘Missing Order ID’ for further analysis later.
For example, we can see all the NULL Order IDs occurred during a few months in early 2013. We can select those in Prep and begin to understand these NULLs before we move to the analysis phase.
For example, in one of our datasets we have a lot of NULL Order IDs. We can also profile our data in Prep to spot issues. We can edit values directly in Prep and begin transforming our data by replacing the “OO” values with a zero and changing our data type to a decimal. In our example, we notice that our discount field was brought in as a text field and has some issues. We can create calculated fields, split data, and utilize a variety of smart cleaning features built into Tableau Prep.
#TABLEAU PREP OUTPUT SERIES#
We’ll connect to three text files and create a Flow.Ī Flow is a series of cleaning and transforming steps that users perform on the data and are where you do all of your cleaning, filtering, calculations, and aggregates. Tableau supports a wide variety of on-premise and cloud-based data sources. To create a Flow and begin to clean our data, we need to connect to a data source.
Above is a screen shot view of a Superstore “flow” in Tableau Prep. The look feels like the final form of Tableau Desktop’s data source screen. Tableau Prep has a clean and friendly user interface. Below I’ll be providing my thoughts on some of the initial features available in Tableau Prep while also providing some tips along the way. Smart features, simple data prep, and integration with Tableau means faster speed to insight. The user interface provides a visual experience that gives users a deeper understanding of their data. The tool empowers users to combine, shape, and cleanse data for analysis in Tableau.Īs you would expect, Tableau Prep is just as intuitive as Tableau Desktop. Tableau Prep is a data preparation tool designed for analysts and business users who try to prepare data for themselves, but might get stuck because they don’t have traditional ETL expertise. Last month, Tableau released a brand-new tool to its data visualization product suite, Tableau Prep. Data Preparation Made Easy With Tableau Prep
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