1. Logical Data Warehousing and Tableau 10
Frank Cegelski | Consultant - Neudesic
#597 | Phoenix 2017

2. Agenda Introduction Traditional Data Warehousing
Logical Data Warehousing
Tableau 10 Features
LDW with Tableau 10
Demonstration
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3. Introduction
Traditional data warehousing is unable to keep up with modern business demands
Data Virtualization provides a more agile methodology for modern BI needs
Tableau 10 provides new tools that allow one to create a simple LDW in a fraction of the time of a traditional Data Warehouse
SQL SATURDAY | #597 | Phoenix 2017

4. Traditional Data Warehousing
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5. Challenges of Traditional Data Warehousing
Lengthy start-up time
Models are designed upfront
Difficult to implement ‘Big Data’
Limited support for non-db data sources
Data Latency
Changes are time consuming and expensive
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6. Data Virtualization
An abstraction layer that allows users access to information while hiding technical aspects such as location, storage structure or access language.
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7. Data Federation
A form of Data Virtualization in which data in multiple heterogeneous data stores is made available to users as an integrated data store using on-demand data integration
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8. Logical Data Warehousing
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9. Logical Data Warehouse Features
Collection of queryable data models or services that return data to the calling application
Data Virtualization layer that integrates data from numerous sources
Decouples direct connection between a reporting application and the Data Source
ELT vs ETL
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10. Logical Data Warehouse Benefits
Flexibility allows for quicker report creation
Better support for ‘big data’
Allows an enterprise to make a large number of datasets available for analysis
Lower data latency allows for ‘operational’ reporting
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11. Open vs Closed architectures
Open architecture refers to a system that makes data available for use in a variety of end-user systems
Denodo
Composite
Closed architecture refers to a system that restricts usage to users of a particular system
Tableau
Powerbi
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12. Use Cases Big Data Need for Operational Reporting
Rapidly changing requirements
Analytics / Machine learning
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13. Tableau 10
BI Tool that allows users to design and share charts, graphs, and data visualizations
Available in Desktop, Server, and Online versions
Support for mobile reporting on Tablets and Phones
Supports both Live data and Embedded data with scheduled updates
SQL SATURDAY | #597 | Phoenix 2017

14. New Features In Tableau 10
Cross Database Joins
Now allows for Inner Joins
Can be published to tableau server
Row level calculations across data sources
Filtering across data sources
Expanded list of Connection Types
Improved workbook creation on Tableau Server
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15. Logical Data Warehousing with Tableau 10
Cross database joins allows for creation of data federations
Data Sources can be deployed to Tableau Server or online for reuse
Visualizations and other Analytics tools available
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16. Demonstration

17. Questions

18. Thank you Sponsors!