Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. In this session, we demonstrate how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes. We also introduce you to SPICE - a Super-fast, Parallel, In-memory, Calculation Engine in Amazon QuickSight, which performs advanced calculations and render visualizations rapidly without requiring any additional infrastructure, SQL programming, or dimensional modeling, so you can seamlessly scale to hundreds of thousands of users and petabytes of data. Lastly, you will see how Amazon QuickSight provides you with smart visualizations and graphs that are optimized for your different data types, to ensure the most suitable and appropriate visualization to conduct your analysis, and how to share these visualization stories using the built-in collaboration tools.
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?
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
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
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.