In one such case a client had some data in SQL Server for employee airline travel. At any point in the flow, I can output to Tableau so I can visualize it to gain deeper understanding as needed.Īfter discovering Tableau Prep’s paradigm, I was excited to take some recent real-world data challenges I’d faced and tackle them with Tableau Prep.And I can know that I’ve solved the issue before moving on. I may have an ultimate goal in mind, but I can focus on the data issue that needs to be fixed first before I move on to the next issue. I can concentrate on one task at a time.I can fix the issues that I find right away and see the results of the fix.I need to fix that before doing the join.”
“Wow! Over half the rows have null values. I see data issues that I would have missed before and I’m seeing them instantly.I can make adjustments to the data flow and iterate through various options very easily.I can go back to previous steps and instantly see what the structure looked like at that point.I can see the data transformations taking place in real time, right before my eyes! No more waiting hours to find that a join failed because of my bad assumption.I’m connecting, cleaning, joining, and transforming the data with drag-and-drop and clicks of the mouse.
Just like other Tableau products, Tableau Prep is hands-on with the data.
#Tableau prep sql trial
Then, after a bit of little trial and error, everything suddenly clicked!Īnd at that point, I fell in love with Tableau Prep as much as I had with Tableau. My experience would be different today, but with that first iteration UI, it took me a while to really grasp the paradigm of Tableau Prep. At that point, the fundamental engine was in place but the interface was not very fleshed out. I started using Tableau Prep (previously Project Maestro) in the first alpha release. I was hooked on Tableau and visual analytics and wouldn’t do much structuring of data outside the Tableau data connection screen again. “From now on, let other team-members build those structures!” I thought. Certain types of analysis require certain types of data structures. And it didn’t just change my world-it allowed me to serve my clients better and drive deeper insights much more quickly.īut it didn’t entirely eliminate the need for structuring the data. I could ask questions, get immediate answers that would raise new and deeper questions and then quickly find answers to those. I could drag and drop fields of data and instantly see visual results. Tableau was magical! Here was an application that was seamless, transparent, and intuitive. But then I discovered something that changed my world. Please don’t misunderstand I loved helping my clients and it wasn’t a bad way to make a living. Then, I’d have to track down the point of failure, hopefully fix it, and test again. And testing could be a nightmare! After hours of development and more hours running a process, I might find that half the values were missing or wrong. I liked working with data, but I found much of the process of building out ETL packages to be fairly tedious and time-consuming. After a few years, I transitioned to Business Intelligence doing data modeling and ETL work.
#Tableau prep sql software
I started my career at Teknion Data Solutions as a software developer. Joshua participated in the pre-release program for Tableau Prep (previously known as Project Maestro). Reference Materials Toggle sub-navigationĮditor’s note: Today’s post comes from Joshua Milligan, Tableau Zen Master, Principal Consultant at Teknion Data Solutions, and author of the VizPainter blog.Teams and Organizations Toggle sub-navigation.
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