Next generation analytics isn’t on its way… it’s already arrived. Most businesses are in the process of developing their new data platforms on the cloud, or moving their existing analytics infrastructure to the cloud. Attend this webinar to learn model architectures and best practices for analytics on AWS. You’ll also learn how you can leverage cloud to spread insight throughout your organization. Join us to learn: • What cloud data infrastructure should look like • How to optimize your analytics deployment on the cloud • Using Tableau to find and share new insights with everyone in your organization

1. Modern BI in the Cloud with
Tableau Server on Amazon EC2

2. David Potes - Solution Architect, AWS
• Certified Solutions Architect focusing on
big data and analytics at AWS.
• Works with AWS ISV partners to enable
their solutions to thrive in the cloud.
• Prior to AWS, he architected and operated
transactional and analytical data solutions
for large multi-nationals and high growth
startups for over a decade.

3. Ross Perez – Sr. Marketing Manager Tableau

4. Data is growing
has been created in the
last two years
90%
of new data will be
created every second for
every human being on
the planet by 2020
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ompany/Media_Presentation_2012_DigiUni
verseFINAL1.pdf
1.7MB
compound annual
growth rate of 58%
surpassing $1 billion by
2020 forecasted for the
Hadoop market
http://www.ap-institute.com/big-data-
articles/big-data-what-is-hadoop-
%E2%80%93-an-explanation-for-
absolutely-anyone.aspx
http://www.marketanalysis.com/?p=279
58%
of all data is ever
analyzed and used at
the moment
http://www.technologyreview.com/news/51
4346/the-data-made-me-do-it/
0.5%<

5. Big Data is for everyone
The market for Big Data technologies is growing more than six times faster than the
information technology market as a whole….
…and those companies who use their data well win.

6. Why AWS for Big Data?
Immediately
Available
Broad and Deep
Capabilities
Trusted and
Secure
Scalable

7. Collect, Store, Analyze, and Visualize
It’s easy to get data to AWS, store it securely, and analyze it with the engine of your choice,
without any long-term commitment or vendor lock-in
Collect
Import/Export
Snowball
Direct Connect
VM Import/Export
CloudFormation
Store
S3
EBS
Glacier
Redshift
Analyze
DynamoDB
Kinesis
Lambda
Aurora
Elastic MapReduce

8. AWS provides the most complete
platform for Big Data
What can you do with Big Data on AWS?
Big Data Repositories Clickstream Analysis ETL Offload
Machine Learning Online Ad Serving BI Applications

9. Tableau and AWS Integration
 Database direct connections from Tableau Desktop (analytics)
 Hosting for Tableau Server on EC2 (sharing/dashboards/reporting)

10. Tableau and AWS Integration
 Database direct connections from Tableau Desktop (analytics)
 Hosting for Tableau Server on EC2 (sharing/dashboards/reporting)
Together, everything you need for Modern BI and analytics.

11. Model Cloud BI Architecture
Tableau
Desktop
Tableau
Server
S3
Flat files
Application
data
Server logs
Internet APIs
Hive
EMR
Spark RDS
Redshift
Collect/Store Store/Analyze Data warehouse AnalysisRaw data
Machine Learning

12. Tableau
Desktop
Tableau
Server
S3
Flat files
Application
data
Server logs
Internet APIs
Hive
EMR
Spark RDS
Redshift
Collect/Store Store/Analyze Data warehouse AnalysisRaw data
Machine
Learning
Collect data from multiple sources
and store in its native format

13. Tableau
Desktop
Tableau
Server
S3
Flat files
Application
data
Server logs
Internet APIs
Hive
EMR
Spark RDS
Redshift
Collect/Store Store/Analyze Data warehouse AnalysisRaw data
Machine
Learning
Separate storage and consumption.
Eliminate capacity constraints. Pay
for what you use.

14. Tableau
Desktop
Tableau
Server
S3
Flat files
Application
data
Server logs
Internet APIs
Hive
EMR
Spark RDS
Redshift
Collect/Store Store/Analyze Data warehouse AnalysisRaw data
Machine
Learning
Support different use cases with the
same platform. Easy to access, easy
to share.

15. Tableau
Desktop
Tableau
Server
S3
Flat files
Application
data
Server logs
Internet APIs
Hive
EMR
Spark RDS
Redshift
Collect/Store Store/Analyze Data warehouse AnalysisRaw data
Machine
Learning
Connect and analyze in minutes.
Share insight with anyone securely.

16. Tableau and AWS - Databases
 Named Connectors
• Amazon Redshift
• Amazon Aurora
• Amazon RDS
• Amazon EMR
• Other Possible Connections
• Amazon S3 via Web Data Connector
• Other datasources
• Cloudera
• Informatica
• Dozens more
Desktop Server
Direct Connection or
Extract (In-Memory)
Connection from
published
datasource or
workbook
Workbook, connection
or extract

17. Tableau and AWS – Server on EC2
Author dashboards in Tableau Desktop and share them
securely with Tableau Server
Self-service
• Customer installs Tableau on their Amazon EC2 virtual server instance
AWS Marketplace BYOL
• Customer spins up an existing Amazon Machine Image (AMI)
• Server is already installed and ready to go
• Customer purchases a license for Server from Tableau
AWS Marketplace Paid
• Customer spins up an existing Machine Image (AMI)
• Server is already installed and ready to go
• Customer is billed for Tableau through AWS
Desktop
Workbook, connection or
extract
Server

18. Tableau and AWS – Server on EC2
Benefits
Self-service
• Install Tableau Server on an Amazon EC2 virtual server instance
AWS Marketplace BYOL
• Spin up an existing Amazon Machine Image (AMI)
• Server is already installed and ready to go
• Purchase a license for Server from Tableau
AWS Marketplace Paid
• Spin up an existing Machine Image (AMI)
• Server is already installed and ready to go
• Pay for Tableau through AWS
Desktop
Workbook, connection or
extract
Server

19. Tableau Server Demo

20. Tableau Server Demo
Key points:
Ease of deployment
– Get started in seconds on Marketplace, minutes if you install manually on EC2.
Admin friendly
– Permissioning, groups, AD, all readily accessible and ready to go
– No hardware to manage
– Centralized billing (with Marketplace Paid)
Intuitive for the end user
– Click to interact, create your own view, save and share with others.

21. Thrive Market
 Needed a full analytics stack immediately
 Wanted to focus on best-practices instead of implementation
 Products
– Redshift
– Tableau Desktop
– Tableau Server on EC2
 Immediate purchase on Marketplace

22. Looking at the full stack - Why Tableau and AWS
 Speed
– Install Tableau Server and Tableau Desktop on AWS in minutes
– Connect to and analyze data the same day
 Scale
– Stop guessing capacity by easily testing on variety of AWS Instances
– Buy Tableau Server hourly on the AWS Marketplace for up-to 100 users
– Scale up by adding Tableau workers within minutes to an existing Tableau
Server deployment
 Reach
– Go global in minutes. Deploy Tableau Server in any AWS region around the
world with just a few clicks

23. Getting Started
 Download Tableau Desktop
– http://www.tableau.com/products/trial
 Start a one click trial of Tableau Server on AWS
– https://aws.amazon.com/marketplace/pp/B00ZYOIFLS