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Tableau Overview
Ten Tools for Ten Big Data Areas
Series 02 Big Data Visualization
www.sparkera.ca
Ten Tools for Ten Big Data Areas – Overview
2© Sparkera. Confidential. All Rights Reserved
10 Tools
10 Areas
Programming
SearchandIndex
First ETL fully on Yarn
Data storing platform
Data computing platform
SQL & Metadata
Visualize with just few clicks
Powerful as Java
Simple as Python
real-time
streaming
Made easier
Yours
Google
Lightning-fast cluster computing
Real-time distributed data store
High throughput
distributed messaging
Agenda
3© Sparkera. Confidential. All Rights Reserved
About data visualization
2 About Tableau company and its approach
3 Tableau architecture, client, server components, tool overview
4 Tableau why and why not
5 Tableau job trend
1
Little About Data Visualization
• A graph is worth a thousand words
• The key to make sense of data is visualization
• Visualization make people see and understand data
© Sparkera. Confidential. All Rights Reserved
About Tableau Software Company
• Found in 2003
• 2014 revenue – US$412 million
• Average growth rate 10% per year
• Employee – 2400+
• Customers – 10,000+
• Partners – 500+
• Cover various business, industries and government organizations
including telecommunications, health care, financial and insurance
services.
• #1 for ease of use, fastest development times, and unmatched big
data visualization
© Sparkera. Confidential. All Rights Reserved
The Tableau’s Approach
© Sparkera. Confidential. All Rights Reserved
Tableau Core Technology
• Visual analytics
 Based on visual query language - VizQL
 Unifies computer graphics and databases
• In-memory data engine
 Column database technology
 Extremely optimized data extract format
• Live query engine
 Great support various database and data type
 Native support SPSS, SAS, R files
© Sparkera. Confidential. All Rights Reserved
Tableau Products v9.0 - Desktop
• Desktop tool to create data connection, visualization, chart,
dashboard
© Sparkera. Confidential. All Rights Reserved
Tableau Products v9.0 - Server
• Web-based reporting, data extract scheduling, sharing tools.
© Sparkera. Confidential. All Rights Reserved
Tableau Products v9.0 - Online
• Cloud-based BI and dashboard solution
© Sparkera. Confidential. All Rights Reserved
Tableau Products v9.0 - Public
• Free tool to publish and share the visualization on the cloud with
limit of data source format, storage
© Sparkera. Confidential. All Rights Reserved
Tableau Products v9.0 - Reader
• Free desktop tool to read and interact with the visualization of
tableau
© Sparkera. Confidential. All Rights Reserved
Why Tableau
• Various of visual analytics - forecast, group, tree maps, bubble
charts, dynamic maps, data blending, free form dashboard etc. with
great user experience.
• Fast visualization – parallelized dashboards, quick filters, data
engine and extract performance, fast calculations, performance
recorder.
• Support various of data source – salesforce.com, big data, API,
Google analytics and big query, etc.
• Business integration – javascript API, distributed data server,
auditing, security, mobile BI, self-BI, web-BI, etc.
© Sparkera. Confidential. All Rights Reserved
Why Tableau – Inspirational Samples
© Sparkera. Confidential. All Rights Reserved
Side Effect - When May Not To
• Little high price: 2000 a seat to start
• Lack of data shaping and transformation function, so it has to use
with other ETL tools
• Lack of semantic layers definition, so it leverages the mart/view in
the data source
• Lack of support of user defined function in the tool.
• Alternatives - MS SSRS/PowerBI, Microstrategy, QlikView, SAP BO,
D3 library
© Sparkera. Confidential. All Rights Reserved
Tableau Job Trends
Level Junior Level
(20%)
Middle Level
(40%)
Expert Level
(40%)
Position Report developer
Data analyst
Sr. BI developer BI consultant
Tableau consultant
© Sparkera. Confidential. All Rights Reserved
www.sparkera.ca
BIG DATA is not only about data,
but the understanding of the data
and how people use data actively to improve their life.

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Ten tools for ten big data areas 02_Tableau

  • 1. Tableau Overview Ten Tools for Ten Big Data Areas Series 02 Big Data Visualization www.sparkera.ca
  • 2. Ten Tools for Ten Big Data Areas – Overview 2© Sparkera. Confidential. All Rights Reserved 10 Tools 10 Areas Programming SearchandIndex First ETL fully on Yarn Data storing platform Data computing platform SQL & Metadata Visualize with just few clicks Powerful as Java Simple as Python real-time streaming Made easier Yours Google Lightning-fast cluster computing Real-time distributed data store High throughput distributed messaging
  • 3. Agenda 3© Sparkera. Confidential. All Rights Reserved About data visualization 2 About Tableau company and its approach 3 Tableau architecture, client, server components, tool overview 4 Tableau why and why not 5 Tableau job trend 1
  • 4. Little About Data Visualization • A graph is worth a thousand words • The key to make sense of data is visualization • Visualization make people see and understand data © Sparkera. Confidential. All Rights Reserved
  • 5. About Tableau Software Company • Found in 2003 • 2014 revenue – US$412 million • Average growth rate 10% per year • Employee – 2400+ • Customers – 10,000+ • Partners – 500+ • Cover various business, industries and government organizations including telecommunications, health care, financial and insurance services. • #1 for ease of use, fastest development times, and unmatched big data visualization © Sparkera. Confidential. All Rights Reserved
  • 6. The Tableau’s Approach © Sparkera. Confidential. All Rights Reserved
  • 7. Tableau Core Technology • Visual analytics  Based on visual query language - VizQL  Unifies computer graphics and databases • In-memory data engine  Column database technology  Extremely optimized data extract format • Live query engine  Great support various database and data type  Native support SPSS, SAS, R files © Sparkera. Confidential. All Rights Reserved
  • 8. Tableau Products v9.0 - Desktop • Desktop tool to create data connection, visualization, chart, dashboard © Sparkera. Confidential. All Rights Reserved
  • 9. Tableau Products v9.0 - Server • Web-based reporting, data extract scheduling, sharing tools. © Sparkera. Confidential. All Rights Reserved
  • 10. Tableau Products v9.0 - Online • Cloud-based BI and dashboard solution © Sparkera. Confidential. All Rights Reserved
  • 11. Tableau Products v9.0 - Public • Free tool to publish and share the visualization on the cloud with limit of data source format, storage © Sparkera. Confidential. All Rights Reserved
  • 12. Tableau Products v9.0 - Reader • Free desktop tool to read and interact with the visualization of tableau © Sparkera. Confidential. All Rights Reserved
  • 13. Why Tableau • Various of visual analytics - forecast, group, tree maps, bubble charts, dynamic maps, data blending, free form dashboard etc. with great user experience. • Fast visualization – parallelized dashboards, quick filters, data engine and extract performance, fast calculations, performance recorder. • Support various of data source – salesforce.com, big data, API, Google analytics and big query, etc. • Business integration – javascript API, distributed data server, auditing, security, mobile BI, self-BI, web-BI, etc. © Sparkera. Confidential. All Rights Reserved
  • 14. Why Tableau – Inspirational Samples © Sparkera. Confidential. All Rights Reserved
  • 15. Side Effect - When May Not To • Little high price: 2000 a seat to start • Lack of data shaping and transformation function, so it has to use with other ETL tools • Lack of semantic layers definition, so it leverages the mart/view in the data source • Lack of support of user defined function in the tool. • Alternatives - MS SSRS/PowerBI, Microstrategy, QlikView, SAP BO, D3 library © Sparkera. Confidential. All Rights Reserved
  • 16. Tableau Job Trends Level Junior Level (20%) Middle Level (40%) Expert Level (40%) Position Report developer Data analyst Sr. BI developer BI consultant Tableau consultant © Sparkera. Confidential. All Rights Reserved
  • 17. www.sparkera.ca BIG DATA is not only about data, but the understanding of the data and how people use data actively to improve their life.

Editor's Notes

  1. Lightning-fast cluster computing