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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
August 11, 2016
Getting Started with
Amazon QuickSight
Guy Farber, Business Development Manager
Wangechi Doble, Solutions Architect
Agenda
• Overview of Amazon big data analytics services
• Challenges our customers face in big data analytics
• Introduction to Amazon QuickSight – cloud-powered BI
• Demo
• What’s next?
Many thousands of companies use AWS for big data
We start with the customer
We take on the big challenges they have
We innovate
We start with the customer… and innovate
Customers told us… We created…
Managing databases is painful and difficult
SQL databases do not perform well at scale
Hadoop is difficult to deploy and manage
Data warehouses are complex, costly, and slow
Commercial DBs are punitive and expensive
Streaming data is difficult to capture and analyze
 Amazon RDS
 Amazon DynamoDB
 Amazon EMR
 Amazon Redshift
 Amazon Aurora
 Amazon Kinesis
AnalyzeStore
Amazon
Glacier
Amazon
S3
Amazon
DynamoDB
Amazon RDS/
Aurora
AWS big data portfolio
AWS Data
Pipeline
Amazon
CloudSearch
Amazon
EMR
Amazon
EC2
Amazon
Redshift
Amazon
Machine
LearningAWS
Import/Export
AWS Direct
Connect
Collect
Amazon Kinesis
AWS Database
Migration Service
Amazon
Kinesis
Firehose
Amazon
Elasticsearch
Service
Amazon
Kinesis
Analytics
Amazon
QuickSight
New
What are the big data challenges
our customers face?
Lots of data
Who are my top customers and what are they buying?
Which devices are showing time for maintenance?
What is my product profitability by region?
Why is my most profitable region not growing?
How much inventory do I have?
Has my fraud account expense increased?
How is my marketing campaign performing?
How is my employee satisfaction trending?
Lots and lots of questions
Few insights
Old-guard BI
Costs too much
Pay $ million before seeing first analysis
3-year TCO $150 to $250 per user per month
Takes too long
Spend 6 to 12 months of consulting
and software implementation time
Introducing
Amazon QuickSight
A fast, cloud-powered, business intelligence
service for 1/10 the cost of traditional
BI software
$9
per user per month
With 1-year commitment
Business user
Sign-in
First analysis in about 60 seconds
Business User
QuickSight API
Data prep Metadata SuggestionsConnectors SPICE
Business User
QuickSight UI
Mobile devices Web browsers
Partner BI products
Amazon
S3
Amazon
Kinesis
Amazon
DynamoDB
Amazon
EMR
Amazon
Redshift
Amazon RDSFiles Apps
Direct connect
JDBC/ODBC
On-premises data
Innovations
• Easy exploration of AWS data
• Fast insights with SPICE (Super-fast, Parallel, In-memory Calculation Engine)
• Intuitive visualizations and transitions with AutoGraph
• Native mobile experience
• Secure sharing and collaboration through StoryBoards
Easy exploration of AWS data
Securely discover and connect to AWS data
Quickly explore AWS data sources
• Relational databases
• NoSQL databases
• Amazon EMR, Amazon S3, files
• Streaming data sources
Easily import data from any table or file
Automatic detection of data types
Fast insights with SPICE
• Super-fast, Parallel, In-memory optimized Calculation Engine
• 2x to 4x compression columnar data
• Compiled queries with machine code generation
• Rich calculations
• Very fast response time to queries
• Fully managed—no hardware or software to license
Intuitive visualizations with AutoGraph
• Automatically detects data types
• Optimally generates queries
• Rapidly creates an appropriate visual
• Gives you the freedom to customize the
visual
Native mobile experience
• iOS, Android
• Full experience on tablets
• Consumption experience on smart phones
• Very fast response
Tell a story with your data
• Capture the critical snapshot of analysis
• Build a sequence of analysis
• Share it securely
• Enable interactive exploration
• Very fast response
When is QuickSight launching?
• Table Join UI
• Data Prep filters
• Support for S3, Aurora, MariaDB
• New chart types—stacked bar, area, bubble charts
• SPICE data refresh
• Dashboard capabilities
• Drill-down hierarchies
New features in the QuickSight Preview
Amazon QuickSight Demo
Basic terminology
Measures – Numerical metrics we want to analyze
Dimensions – categorical attributes of a measure
Demo overview
Amazon Redshift
Retail DB
Amazon EC2
Raw data and
customerscripts
Business Users
Amazon S3
Transformed Retail
CSV files
Amazon QuickSight
Visualize
Fast to get started Fast insights with SPICEEasily explore any AWS data
Easy to use and share Effortless scale Low cost
Amazon QuickSight pricing
Standard edition Enterprise edition
Subscription Annual Monthly Annual Monthly
Price per user per month $9 $12 $18 $24
SPICE Capacity (GB)* 10 10 10 10
Additional SPICE
GB/month $0.25 $0.38
* Per user SPICE capacity is pooled across all users in an account. As an example, a customer
with 100 user subscriptions will get 1,000 GB of SPICE capacity for the account.
Sign-in
Register for the Preview @ aws.amazon.com/quicksight
Thank you!
http://aws.amazon.com/quicksight

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Getting Started with Amazon QuickSight

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. August 11, 2016 Getting Started with Amazon QuickSight Guy Farber, Business Development Manager Wangechi Doble, Solutions Architect
  • 2. Agenda • Overview of Amazon big data analytics services • Challenges our customers face in big data analytics • Introduction to Amazon QuickSight – cloud-powered BI • Demo • What’s next?
  • 3. Many thousands of companies use AWS for big data
  • 4. We start with the customer We take on the big challenges they have We innovate
  • 5. We start with the customer… and innovate Customers told us… We created… Managing databases is painful and difficult SQL databases do not perform well at scale Hadoop is difficult to deploy and manage Data warehouses are complex, costly, and slow Commercial DBs are punitive and expensive Streaming data is difficult to capture and analyze  Amazon RDS  Amazon DynamoDB  Amazon EMR  Amazon Redshift  Amazon Aurora  Amazon Kinesis
  • 6. AnalyzeStore Amazon Glacier Amazon S3 Amazon DynamoDB Amazon RDS/ Aurora AWS big data portfolio AWS Data Pipeline Amazon CloudSearch Amazon EMR Amazon EC2 Amazon Redshift Amazon Machine LearningAWS Import/Export AWS Direct Connect Collect Amazon Kinesis AWS Database Migration Service Amazon Kinesis Firehose Amazon Elasticsearch Service Amazon Kinesis Analytics Amazon QuickSight New
  • 7. What are the big data challenges our customers face?
  • 8. Lots of data Who are my top customers and what are they buying? Which devices are showing time for maintenance? What is my product profitability by region? Why is my most profitable region not growing? How much inventory do I have? Has my fraud account expense increased? How is my marketing campaign performing? How is my employee satisfaction trending? Lots and lots of questions Few insights
  • 9. Old-guard BI Costs too much Pay $ million before seeing first analysis 3-year TCO $150 to $250 per user per month Takes too long Spend 6 to 12 months of consulting and software implementation time
  • 11. A fast, cloud-powered, business intelligence service for 1/10 the cost of traditional BI software
  • 12. $9 per user per month With 1-year commitment
  • 14. Business User QuickSight API Data prep Metadata SuggestionsConnectors SPICE Business User QuickSight UI Mobile devices Web browsers Partner BI products Amazon S3 Amazon Kinesis Amazon DynamoDB Amazon EMR Amazon Redshift Amazon RDSFiles Apps Direct connect JDBC/ODBC On-premises data
  • 15. Innovations • Easy exploration of AWS data • Fast insights with SPICE (Super-fast, Parallel, In-memory Calculation Engine) • Intuitive visualizations and transitions with AutoGraph • Native mobile experience • Secure sharing and collaboration through StoryBoards
  • 16. Easy exploration of AWS data Securely discover and connect to AWS data Quickly explore AWS data sources • Relational databases • NoSQL databases • Amazon EMR, Amazon S3, files • Streaming data sources Easily import data from any table or file Automatic detection of data types
  • 17. Fast insights with SPICE • Super-fast, Parallel, In-memory optimized Calculation Engine • 2x to 4x compression columnar data • Compiled queries with machine code generation • Rich calculations • Very fast response time to queries • Fully managed—no hardware or software to license
  • 18. Intuitive visualizations with AutoGraph • Automatically detects data types • Optimally generates queries • Rapidly creates an appropriate visual • Gives you the freedom to customize the visual
  • 19. Native mobile experience • iOS, Android • Full experience on tablets • Consumption experience on smart phones • Very fast response
  • 20. Tell a story with your data • Capture the critical snapshot of analysis • Build a sequence of analysis • Share it securely • Enable interactive exploration • Very fast response
  • 21. When is QuickSight launching?
  • 22. • Table Join UI • Data Prep filters • Support for S3, Aurora, MariaDB • New chart types—stacked bar, area, bubble charts • SPICE data refresh • Dashboard capabilities • Drill-down hierarchies New features in the QuickSight Preview
  • 24. Basic terminology Measures – Numerical metrics we want to analyze Dimensions – categorical attributes of a measure
  • 25. Demo overview Amazon Redshift Retail DB Amazon EC2 Raw data and customerscripts Business Users Amazon S3 Transformed Retail CSV files Amazon QuickSight Visualize
  • 26. Fast to get started Fast insights with SPICEEasily explore any AWS data Easy to use and share Effortless scale Low cost
  • 27. Amazon QuickSight pricing Standard edition Enterprise edition Subscription Annual Monthly Annual Monthly Price per user per month $9 $12 $18 $24 SPICE Capacity (GB)* 10 10 10 10 Additional SPICE GB/month $0.25 $0.38 * Per user SPICE capacity is pooled across all users in an account. As an example, a customer with 100 user subscriptions will get 1,000 GB of SPICE capacity for the account.
  • 28. Sign-in Register for the Preview @ aws.amazon.com/quicksight