Learn how you can leverage AWS Platform to tackle all Business Intelligence challenges (Real-time, Data Warehousing performance and Business Intelligence democratisation)

1. Antonio
Alvarez,
EMEA
BDM
for
Database
&
Big
Data/Analytics
E-­‐mail:
Antog@amazon.com
Twitter:
@A_AlvarezGarcia
Agile
BI
in
the
Cloud

3. AWS Redshift Value Proposition

4. QuickSight
DynamoDB
(NoSQL)
EMR
Capacity planning
Redshift: Value proposition
Simple and flexible
Complexity &
Redundancy
Slowness
Real
Time/Streaming
Big Data Ready
hidden Cost
Compressed
5X
No Insight
Latency
Scalable and Elastic
Unlimited capacity
Precision and Depth
Value
Scalability??
Kinesis
Redshift
Redshift
Columnar Zone Maps Optimized HWParallel processing
Fully Managed:
Back-ups, etc..
Available for Analysis
Agility
Any
application
Secure
Streaming
Data
* Data Pipeline/Lambda
*
*
*
10+X faster
QuickSight

5. Time To market Reduction (-­64%) *
* Based
on
Customer
feedback
after
migrations
to
Redshift
from
traditional
DWH
technologies
Improvement
74%

6. Real-­Time BI:
Streaming Analytics

7. Amazon Kinesis
Streams
Build your own custom
applications that process
or analyze streaming
data
Amazon Kinesis
Firehose (new)
Easily load massive
volumes of streaming
data into Amazon S3 and
Amazon Redshift
Amazon Kinesis
Analytics (new)
Easily analyze data
streams using standard
SQL queries
Amazon Kinesis
Services that make it easy to work with real-­time data streams on AWS

8. Amazon Kinesis Analytics (Coming Soon)
Easiest Way to Analyze Streaming Data with Standard SQL
With
Amazon
Kinesis
Analytics
• Parses
data
streams
and
makes
the
fields
available
for
you
to
explore
• UI,
Wizards,
and
library
of
operators
to
build
SQL
queries
• Fully
managed
service,
zero
ongoing
administration
Today
• Customers
use
Amazon
Kinesis
Streams
with
frameworks
such
as
Apache
Spark,
Apache
Storm
• Requires
building
custom
stream
processing
code

9. Amazon QuickSight

11. Fast Insights with SPICE
• Super-­fast, Parallel, In-­memory optimized, Calculation
Engine
• 2 to 4x Compression Columnar Data
• Compiled Queries with Machine Code Generation
• Rich Calculations
• SQL Like Syntax
• Very Fast Response Time to Queries
• Fully managed – No hardware or Software to License

12. Business User
QuickSight API
Data Prep Meta Data SuggestionsConnectors SPICE
Business User
QuickSight UI
Mobile Devices Web Browsers
S3 Kinesis DynamoDB EMRRedshift RDSFiles Salesforce
Partner BI products

13. Fast
to
Get
Started Fast
Insights
with
SPICEEasily
Explore
Any
AWS
Data
Easy
to
Use
and
Share Effortless
Scale Low
Cost

14. References

15. Growing ecosystem http://aws.amazon.com/redshift/partners

16. Thank you
Contact information:
Antonio Alvarez
EMEA BDM for Databases & Big Data
Twitter: @A_alvarezGarcia
E-mail: Antog@amazon.com