Join us for the 2017 Tableau Keynote address!
Is your organization drowning in the data lake too? Leading big data organizations are leveraging a multi-tiered approach to data for consumption in Tableau. In this session, we will:
- Discuss the challenges of visualizing big data
- Establish best practices for leveraging Hadoop/Spark directly and working with data warehouses
- Talk about in-memory Tableau data extracts for fast visual analysis in Tableau
Do you want to take Tableau adoption at your organization to the next level? Come to this session and learn about creating a Tableau Center of Excellence to promote enterprise-wide collaboration and governance based on business value. We will explain the insights and detail the best practices we learned during implementation at data-driven enterprises that established a Tableau Center of Excellence.
Analyzing sensor data can be overwhelming. How should you structure the IoT (Internet of Things) data? How do you create an overview monitor? How do you know when a certain value is in a critical state? We'll use industry data to demonstrate:
- Why visualizing your sensor data is key to monitoring
- The use of Tableau's analytic functions to find outliers and clusters within your IoT data
- How to create a dashboard that shows you the big picture while allowing you to drill down using dashboard actions
If you're still learning your drags from your drops, and your dimensions from your measures, this session is for you. Learn the fundamentals of Tableau, including how to connect to data, answer statistical questions, build maps, and apply some table calculations in a dashboard you can take with you at the end of the session.
Have you been newly appointed as a Tableau Server administrator, tasked with setting up a new installation of Tableau Server for your company? Come to this session and learn how to configure Tableau Server, and set up your users and existing Tableau content. We'll teach you how the web interface works and best practices for assigning permissions for your users and their content.
There's no magic wand, but you can create magic with multiple marks in Tableau. Come to this session to learn the tricks data wizards use to best utilize multiple marks cards and dual axis charts to create amazing visualizations. We'll teach you how to synchronize axes, and how to best use chart types with multiple marks. You won't be able to help revealing these secrets to all of your colleagues.
One of the most powerful new features in Tableau is cross-database joins, which gives you two methods of data integration: data blending and cross database joins. In this session, you'll learn advanced data blending techniques, an overview of cross database joins, and the situations where each technique should be used. To get the most out of this session, you should have a basic knowledge of data blending, joins, and basic calculations.
Want to design outside the box? Tableau's SHOW ME feature is fabulous, but sometimes you need to deliver something more specific. In this session, we will explore the multitude of chart types that are possible in Tableau, but aren't considered "defaults." Come learn how to build a pareto chart, hex tile map, trellis chart, heat calendar, doughnut chart, lollipop chart, bump chart (if you must) and waffle chart. We will also discuss the pros and cons of each chart, where you can find a good blog post about each chart and briefly discuss some other popular charts that you can build with Tableau.
Tableau makes exploring your data easy, but what do you do when that data is locked away behind a web service? Is exporting all of your data the only hope? With Web Data Connectors in Tableau, you can now unlock these sources and bring your precious data into Tableau easily from both internal and external web services. Web Data Connectors let you connect to and refresh web data sources by writing some custom code. In this session we'll walk through how these connectors work, how they integrate with Tableau, and look at some real world examples. We'll even write a simple connector and take you through the steps to build, debug, and share the final connector.
What are the best practices to get your data ready to viz? In this session, we’ll show you “good” data formatting, great ways to clean Excel data, data unions and how to fix mismatched fields. You’ll also learn join awareness, when and how to pivot, how to deal with missing data, and how best to enhance your data while vizzing.
Join us for the 2017 Keynote address!
Anyone can analyze basic social media data in a few steps. But once you’ve started diving into social analytics, how do you bring it to the next level? This session will cover strategies for scaling a social data program. You’ll learn:
- How to go beyond Excel by layering in advanced social data sources
- Considerations for building scalable data sources
- Tips for using metadata and calculations for more sophisticated analysis
Social data can offer powerful insights right away. In this session, you’ll learn how to build a mature social data program from that foundation.
Tableau supports a number of basic statistical analysis features that can be powerful tools for understanding data. Come and learn about these basic statistical concepts in the context of Tableau, so you can understand your data! The session will also cover how Tableau's built-in forecasting functionality really works; why does forecasting behave the way it does? How can you change Tableau's forecasting model? Why doesn’t your forecast work? How can you leverage R?
Do you suffer from information overload in your dashboards? Do you have trouble taking a dashboard from concept to execution? In this hands-on session, we’ll introduce you to Guided Analytics—a Tableau information design concept that helps you with interactive dashboard driven by real business questions rather than report specifications.
If you're in search of more end-user interactivity in your dashboards, this session is for you. Parameters allow you to create user inputs that can be used to adjust measures, swap dimensions, hide worksheets, build conditional logic, and much more. Come learn the basics of parameters from the ground up, and even a few sophisticated parameter use cases.
What you will learn:
- What a parameter is
- Simple uses of parameters such as moving averages, what-if analysis, adjusting KPIs, and top N filters
- Sophisticated uses of parameters such as swapping fields within a chart and swapping charts within a dashboard
Do you conduct business in more than one language? Ever wondered how to design a single dashboard to be consumed by people in whatever country they reside? In this session, we'll cover all of the tips and tricks involved with localization - from taking advantage of data sources to implementing with paramters. You'll leave the session feeing very happy /très heureux / muy feliz/ sehr glücklich.
Some like R, others like Python, or have been using other statistical or data mining environments. Tableau works with its many partners to allow you to leverage your investment and knowledge in other platforms, and use Tableau to compose beautiful data stories. This session will cover how to take your analytics to the next level leveraging R integration and TabPy. Some knowledge of R and/or Python recommended.
Come and learn from Tableau’s Performance SWAT Team about all the knobs and dials you can use to tune your enterprise's Tableau Server deployment to maximize performance. Come to learn about:
- Adjusting your topology based on your usage
- Small workbook tweaks with big impacts
- How to monitor various performance aspects on Tableau Server
- How Tableau utilizes the resources on your host
- Reducing query times with data base tweaks
Are you new to Tableau? Curious about how to build views a bit quicker? Maybe you've created a few workbooks and you've learned how to follow a recipe that someone showed you. That recipe gives you useful results, but now you want to start doing more, become more spontaneous and creative, and start down the road to really mastering the art of Tableau. In this session, we'll show you best practices for visual analysis in Tableau, teach you some core Tableau concepts, and demonstrate useful tips that will help you become a data rockstar. In this session you will learn about:
- Preparing your data in Tableau
- Customizing the fields in your data
- Exploring your data by asking questions and building views to find answers
- Creating dynamic views and filtering views
- Building interactive dashboards
Table calculation or LOD expression? This session will provide you a framework for making the choice. We will cover relevant parts of the calculation pipeline, performance implications, and the suitability for the scenario at hand. And, of course, we'll use real world examples to illustrate each of these points.
- Briefly introduce the JSAPI and features such as filtering and the newly added Get-Data API
- Dive deep into the API
- Show you some advanced use cases for developers, such as creating custom D3 vizzes that can interact and work together with Tableau vizzes