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Introduction to Tableau

Introduction to Tableau

Let’s dive right into the first part of our Tableau Training Series!  In the video and text below, I’ll walk you through a quick and concise end to end Tableau Introduction.  I’ll start off by explaining the Pros and Cons of Tableau. Although I’d like to think Tableau is capable of solving world hunger, truth is, it does lack some basic functionality by design.

Next, I’ll go into detail on the Tableau Product Line.  You’re going to fully understand the purpose and functionality of Tableau Desktop, Tableau Server, Tableau Online,  and finally Tableau Reader.

By this time you’ll be ready to dig into and get familiar with the key terminology that makes up the world of Tableau.  I’m talking workbooks, worksheets, stories, data connections, tableau data extracts, and much more.

Lastly, I’ll cover how to download and install various versions of Tableau on your machine…and how to download/install database drivers.  Ready to get started! Let’s go!

Welcome to our Tableau Introduction  

In this first lesson, we’re going to be going over the pros and cons of Tableau, the overall Tableau product line, some key terminology and a brief overview of Tableau desktop. One of the most important things to remember through all this training is Tableau desktop is great for visualizing data and telling a story with data, not just displaying raw data.  

What Makes Tableau So Great?

  • Completely Interactive
    • You’re telling a story and giving end users the ability to filter and step through their analysis from the highest possible level all the way down to the lowest level, in real time
  • Self Service with Short Learning Curve
    • Minimal IT involvement throughout the entire development process.  The IT team’s responsibility transitions off of report creation and focuses on maintaining the back end of the system.  No more time consuming tickets with IT for report modifications.   Tableau also has an extremely short learning curve.  Tableau was designed with the end user in mind, enabling them to quickly build beautiful dashboards. Over time your skills will grow and you’ll be able to make better, more informative dashboards compared to other reporting tools
  • Agile Development
    • Easily iterate on Tableau dashboards with little to no operational impact.  Agile is a popular buzzword nowadays.  Simply put, it means you’re able to deliver results throughout your entire dashboard development and see immediate value and results based on the changes you’re making.
  • High-Performance
    • Tableau’s proprietary data extracts greatly improve read performance.   Tableau Data Extracts allows you to take all of the load off of the database systems and store that data in a file (.TDE) which is a highly compressed column based datastore.  10x compression ratios are very common
  • Real Time
    • Live connections with your data ensure you’re always viewing the latest and greatest. If something changes in the underlying source, it’s immediately reflected in your Tableau dashboard but do keep in mind that if your database is slow, it’s going to just as slow in Tableau
  • Easily Share Tableau Dashboards
    • Package your Workbook along with its data to easily share your analysis.  allow me to package your data inside of your workbook and then share that with other users some of the

What Makes Tableau NOT So Great?

  • Not built for operation reporting
    • If your tableau visualizations closely resemble an excel spreadsheet, you’re in trouble.  Tableau will struggle to display this data as it was never optimized to output tablular data in dashboards.
  • Output Limitations
  • Not a robust ETL tool
    • Tableau’s strong suit is data visualization, not transformation and joining
  • Highly Formatted Reports
    • Tableau is not able to create reports that resemble something like a cellular or utility bill
  • Frequent Software Updates
    • Tableau wants your dashboards built on the latest and greatest. That means if your colleague is running version 10 and you’re still on 9, you won’t be able to open his workbook until you update your software. Compatibility issues also arise in organizations running Tableau Server.  Dashboard developers may be installing the latest version of Tableau for their development and won’t be able to publish onto their enterprise server as it’s outdated and cannot received dashboards from the newest Tableau Desktop version.
  • Not as easy as advertised
    • Easy to get lost, light SQL knowledge recommended, a lot of “how did I build this last week” moments

Key Terminology

  • Tableau Workbook (.TWB)
    • Created when you save your workbook in Tableau Desktop
    • Contains data connection information (DB info, data location) but no actual data stored
  • Worksheets – Used as canvas for your data visualization
    • Dimension – What you’re looking to calculate and report on (Year, State, Product)
    • Measure – The actual metric you seek to analyze (Quantity Sold, Net Sales)
    • Shelves, Pills, Marks – Used to tell your story with data
  • Dashboards – Canvas used to display one or more worksheets within the same view
  • Stories – Enable you to snapshot visualizations. Walk through your analysis. Slideshow.
  • Tableau Packaged Workbook (.TWBX) – Contains all of your visualizations, connection info & data!
  • Tableau Data Extract (.TDE) – Stores a highly compressed, performance optimized snapshot of data to serve as a datasource

Live Connections vs Tableau Data Extracts

  • Live Connections
    • If the connection is interrupted, your data will be inaccessible
    • Constantly being re-queried every time you interact with your dashboards
    • Only as fast as source. An already slow DB won’t see read improvements in Tableau
  • Tableau Data Extracts (TDE)
    • Snapshot in time of entire dataset. Much faster performance as DB is no longer queried
    • Stored locally so performance is as fast as the machine viewing the workbook
    • Best suited for aggregated datasets. Don’t try to extract 2+ billion record finance table
    • Schedulable to refresh on a recurring basis

Data prep is not exactly Tableau’s strong suit

Tableau is not meant to be an ETL replacement. Get your data right in the source before even considering bringing it into Tableau.  Incomplete datasets will look terrible.


  • Create joins between tables
  • Blend data sources
  • Create calculated fields on the fly based on existing fields


  • Have a database view created that contains all of the logic you plan to use in Tableau
  • Better for performance
  • Better for your mental health

Getting Started

June 11, 2019

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