Tableau 8.3 Bronze Certification Flashcards
(Positioning Basics) Why use Tableau? What value does Tableau deliver?
Tableau empowers powerful analytics with a self-service methodology behind its software promoting speed, ease, and beautiful visualizations. While learning is involved, overall most users increase productivity by spending more time asking questions of data. Additional time asking questions allows new points of insight to be discovered. Tableau customers have a more complete picture of their projects and more options when decisions need to be made.
(Positioning Basics) Who usually uses Tableau within a company?
Tableau’s mission is to help people see and understand their data. ‘People’ means anyone with questions about data. Tableau has grown into a leading provider of analytical software across the globe, across multiple industries. Let me share with you some customer stories.
How long does it take to learn Tableau?
It’s extremely easy to install Tableau Desktop or Server, connect to data, and begin exploring data, but every customer has unique requirements. The learning curve really depends on the analysis and the environment where Tableau is deployed. To answer this question more precisely, let’s start a guided evaluation. Participation is mutual. We’ll help you determine how long Tableau adoption will take by guiding you through a use case. In return, we expect that you let sample of employees use Tableau.
(Positioning Basics) We have a BI standard. How does Tableau differ?
Will you briefly describe your current standard? Is it open to change if Tableau proves to deliver the most benefit to your business? Tableau has found success by focusing on the gap created when business users cannot efficiently access rich stores of data collected by IT. This stifles the analytical curiosity business users and burdens IT with report pulling requests. Tableau changes the BI status quo by supplying a platform to help foster a collaborative environment for its customers; within organizations and across industries. We don’t believe in having IT and business users work in separate spheres. Instead we’ve found that the most efficiency and gains are found when both own one tool that can scale across the requirements of both departments.
(Positioning Basics) I have free analytical software, why buy Tableau?
A lot of Tableau’s customer own free software. They chose to use Tableau because it fills a gap. Some examples include too much time to insight, too many reports, team members are not on the same page, or critical business decisions have been poorly decided or completely missed. Do you have a similar situation- what are your gaps?
(Positioning Basics) How does Tableau help guarantee success?
Overall, Tableau software has one of the highest average customer satisfaction ratings for analytical software. We ensure success with our software in many ways. a. With you purchase, you enter into a customer success program where we contact you to make sure you’re achieving ROI on the product. b. We offer first come first serve tech support help on any issue or for general questions. c. Participation in Tableau’s community forum to share ideas with fellow members. d. Free resources like videos, weekly live training, and articles available through Tableausoftware.com. e. Tableau’s annual customer conference. We give you the best we have to offer in the form of support, interactive activities, and speakers.
(Positioning Basics) Tableau’s main competitors?
Excel, Qlick, Microstrategy, Birst, Tibco Spotfire
(Positioning Basics) What separates Tableau from competitors?
a. Time to Value: Tableau takes less time to deploy than many other BI vendors plus the user interface is built to be and strives to be user intuitive. b. Visual Analytics: Tableau Desktop renders visualizations based on its patented query language VizQL to make compelling charts. This language is nowhere else in the market. c. Agile Data Connections: Tableau has 35+ tuned, live data connections to data sources, plus Tableau supplies a data engine for additional data support right out of the box.
(Product Knowledge & Positioning) What operating systems does Tableau support?
a. Tableau Desktop: Windows and Mac b. Tableau Server: Windows
(Product Knowledge & Positioning) What is the difference between these Tableau server products: Server, Online, and Public?
a. Maintenance-Tableau Online(no SLA) and Tableau Public are maintained by Tableau, while Tableau Server is maintained by the customer. b. Data flow- Any data source can connect directly with Tableau Server. Non cloud based data sources must be pushed to Tableau Online via a data extract. c. Security- Data is secure in Tableau Online and Tableau Server. Tableau Online complies with SSAE-16 and US-EU Safer Harbor principles, but is not HIPPA or FERPA compliant. Unless using Public Premium row level data is not protected in Public. d. Licensing-Tableau Server is licensed for the entire server. Tableau Online is licensed by the site. Public and Public premium is licensed by the individual user. e. Authentication- Tableau Public and Online are authenticated via a Tableau generated ID. Server authentication supports authentication or active directory. Server also supports authentication with trusted tickets, or SAML. f. Environment- Tableau Server, Online, and Public are all web based methods of sharing content from Tableau Desktop. Reader is desktop application to open and view content from Tableau Desktop.
(Product Knowledge & Positioning) What is the difference between these Tableau desktop products: Personal, and Professional?
a. Personal only connects to flat files (Excel, Access, CSV, and Tableau Data Extract.) b. No publishing to Server with personal.
(Product Knowledge & Positioning) What does maintenance include?
One year of free first come first serve tech support service and upgrades to the next release.
(Product Knowledge & Positioning) What is data server? How should it be utilized?
Tableau Data Server is a Server component to store and centrally manage reusable data connections. Many workbooks may use one of these data connections. Advantages include reduced network traffic, less processing time, and saving Server space.
(Product Knowledge & Positioning) What API support does Tableau offer?
a. Tableau Data Extract API- Create a program to bring data from a non-supported data source into Tableau. The program will access, process, and then deliver the data in a TDE file format. b. Javascipt API- Integrate interactive content from Tableau into apps. c. Rest API- Representational State Transfer API. Manage and make requests of Tableau Server via an HTTP interface.
(Product Knowledge & Positioning) How do I share results?
Publish secure dashboards to Tableau Server or Tableau Online. A non-secure option is sharing with Tableau Reader.
(Product Knowledge & Positioning) Can a customer move from Tableau Online to Tableau Server?
Yes. The products are not mutually exclusive. 12% of Tableau Online customers also deploy a Tableau Server.
(Product Knowledge & Positioning) What are the licensing models for Tableau Server? Explain the difference.
Core and User based are the two Tableau Server licensing models. Core is restricted by hardware, but has an unlimited user count on the system (including a guest account). User based is restricted by the number of server licenses sold to the customer, but does not have any hardware restrictions.
(Product Knowledge & Positioning) Do Tableau products work in a virtual environment?
Yes- they must be configured with the correct operating system and have access to the minimum hardware requirements.
(Product Knowledge & Positioning) What languages does Tableau support?
English French German Brazilian Portuguese Spanish Simplified Chinese Korean Japanese
(Positioning Data Support) What’s the maximum number of rows Tableau can utilize at one time?
Tableau is not restrained by the number of rows in a table. Customers use Tableau to access petabytes of data because it only retrieves the rows and columns needed to answer your question. Let me share some customer use cases focusing on big data. Example- 100 million rows database. Answer what is the monthly sales trend for the last 2 years? Tableau retrieves 24 rows of data.
(Positioning Data Support) I have data from 2+ sources. How does Tableau work with disparate data sources?
Do you want to answer a question that will utilize both sources? a. If yes, then ask if the data has common entries or field name? *If yes, then suggest data blending, a feature unique to Tableau Software. Data blending is when disparate data is queried and then rendered on a single worksheet. The data can only blend on common dimensions and dimension members. Data Blending does not create row level joins and is not a way to add new dimensions or rows to your data. If blending with a cube, a field from the cube must be on the view first to make it the primary data source. Cubes cannot be a secondary data source. *If no, there are some techniques to help compensate for different field names, but the data may need to be cleaned up to complete the analysis. b. If no, then suggest connecting to both sources and create the desired charts.
(Positioning Data Support) Can I use a table of data from a website?
Yes. Select the table and paste into a Tableau workbook via ‘Data’ in the toolbar.
(Positioning Data Support) What is the Tableau data engine?
It’s an analytical database designed to achieve instant query response, predictive performance, integrate seamlessly into existing data infrastructure, and is not limited to loading entire data sets into memory. The core of the structure is columnar-based that compresses the data.
(Positioning Data Support) How do cubes differ from relational database in Tableau?
Most of the application and user experience is the same, but there are a couple of advantages received from each data source type in Tableau. Specifically: Cubes Gain: a. Hierarchical Filters b. Drill Up/Down per Member c. Calculated Members (write your MDX) d. Default Members e. Total Using (set the total to use a different calc than the original field) Relational databases Gain: a. Robust Calculations – even on dimensions b. Groups c. Aggregations (in a cube these are pre-defined) d. Fast Data Engine e. Relative Date Filter f. Row Level Filters
(Connecting to Data) What databases can connect to Tableau Desktop and Server?
Tableau supports multiple data connections to one or many data sources concurrently. The data sources can be on premise or in the cloud. I can briefly demo creating a data connection and/or we can walk through connecting to your data in a guided evaluation. What databases are you using currently or are considering in the near future?
(Connecting to Data) I don’t see my source of data listed? What are my options?
Use the standard ODBC (Open Database Connectivity) option listed in the data connection window. While this connection option may not be as robust as a native connection, it does provide the ability to use the driver for connecting to your database. If you run into performance issues, I recommend extracting the data into a Tableau Data Extract. We can also provide some guidance to tune the connection. http://kb.tableausoftware.com/articles/knowledgebase/customizing-odbc-connections?lang=en-us You may also use Tableau Data Extract API to write program to access and process your data to create a Tableau Data Extract. We support developers on Windows and Linux platforms for Python/C/C++/Java.
(Connecting to Data) What is the difference between ‘Connect Live’ and ‘Extract’?
Connecting live to a database leverages it computational processing and storage. New queries will go to the database and reflect new or updates in the data. An extract will make a static snapshot of the data to be used by Tableau’s data engine. The snapshot of data can be refreshed on a schedule as a whole or incrementally append data. One way to set up these schedules is via Tableau Server.
(Connecting to Data) In a live connection, what performance should I expect?
• What are your performance requirements? • Is performance an issue with your current solution or solutions you’re exploring? In a live connection, performance speed is based on how fast your data sources can process requests made by Tableau. If live connection to a data source is too slow, it’s possible to increase performance via a Tableau Data Extract (TDE) in the Tableau’s Data Engine.