difference between tableau and tableau prep

Difference between tableau and tableau prep how to#

I’ve been impatiently waiting to get my hands on it ever since. Click & Tweet!Īs a Tableau Consultant, I’m excited to know that the amount of time I spend doing data prep and cleansing is about to end, allowing more time for the good stuff - analysis! Tableau is Changing Face of ETLĪt the 2016 Tableau Conference, Tableau gave a demonstration of an ETL tool called Project Maestro (as of release in April 2018 it is called Tableau Prep), which they were in the process of developing. Some studies show that data analysts spend 80% of their time cleansing and prepping data and just 20% on actual analysis. And once tomorrow’s, next week’s, or next month’s data arrives, you have to do it all over again. To go through the entire toolkit, click here.Admit it, in order to analyze your data, you’ve spent hours porting data into Excel to fix/modify it, filter out irrelevant, bad or test records, enhanced the data by adding additional fields from other data sources using vlookup, added calculated fields, etc. Other Alteryx Data Investigation tools to be aware of:Īlteryx has an entire data investigation toolkit, many of which are included in the R Predictive Tool download. The R and I output anchors should be connected to Browse tools to view reports of the information from the O anchor.

Difference between tableau and tableau prep how to#

String values will also contain comments and remarks that can include recommendations for how to clean your data. All field types show the percent missing/null and number of unique values. Depending on field type, this can include max, min, standard deviation, range of dates, etc. The O output results in detailed information about each field. It connects to your data flow and has three outputs: O (output), R (report), I (interactive report). I also especially like the Field Summary tool from the Data Investigation toolkit. The Browse tool will show you a similar distribution of values as well as bars that display Null values (yellow) vs green (ok). Run your workflow to populate the browse tool. You can drag this onto your workflow or use the hotkey Ctrl + Shift + B. The most common investigation tool is the Browse tool.

Data Joining & Transformation: manipulating the structure with joins, unions, or cross-tabs/transposingĪlteryx will require you to add other tools for data investigation.

Data Cleansing: string manipulation, calculations, filtering, and handling nulls.

Data Investigation: knowing your data, and what is wrong with it.

In my eyes, the key capabilities of data prep are as follows:

For that reason, for the next few weeks, let’s compare and contrast the products from the perspective of data prep alone. Though there are some clear differences in both breadth and depth of product functionality, many look to the two products for their data prep needs. Alteryx Designer is Alteryx’s flagship product that can be used for basic-to-advanced data prep and more advance data science including spatial, predictive, and prescriptive analytics.

It is used for basic data prep and cleanse. Tableau Prep is a more recent release that is now packaged with the Tableau Creator license. Tableau Prep and Alteryx Designer are key players on the data prep market.