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As we develop workflows, it is inevitable that we will need to make additional modifications downstream of our data. To see the updates, we need to run the workflow. Depending on the data, this can take a long time. Let’s be honest, even waiting a couple of minutes to re-run the workflow is too much time... Ain't nobody got time for that.
Larger workflows sometimes require a little extra effort to navigate around. We are exploring some enhancements to make it easier to move across a large canvas and we would love to hear your thoughts, suggestions, and concerns.
Developing resource-intensive workflows can be a challenge when testing changes involves running the workflow through iterations that may take several minutes or more before being able to see results. This post walks through using the Cache Dataset macro to develop workflows in a smarter way, avoid repeated long run times, and speed up the process of blending and analyzing larger sets of data.
Back in July Alteryx released Alteryx for Visual Analytics; a version of Alteryx Desktop specifically tailored to deliver data natively to Tableau Software. Since then I have begun to explore what Tableau is all about and in my opinion the two products are a beautiful pairing: Alteryx allows you to do all of the preparation, heavy lifting, cleaning, blending and reformatting of your source data; and Tableau provides you with beautiful interactive visualizations and dashboards of that data.