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© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
David de Santiago, Digital Transformation EMEA, Amazon Web Services
April 2016
Big Data for Disruptive Models
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SOFTWARE IS EATING THE WORLD
DATA IS FUELING
SOFTWARE
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What to Expect from the Session
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“We use Amazon Machine Learning to analyze customer feedback on packaging and
create predictions to identify products that are suited for our
Frustration Free and eCommerce ready packaging
standards”
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Few Examples at Amazon…
It is what allows us to unload an entire truck full of products and
make them available for purchase in as little as 30 minutes
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It is what makes Amazon Echo able to respond to your voice
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50 Billions
Predictions
Per Week
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What does it take to be data driven?
ApplicationsDevOps
Agile
All DataLakes
For ALL
AnalyticsPreventPredict
Prescript
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Gartner: User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011 IDC: Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares
Available for analysis
Generated data
Data volume - Gap
1990 2000 2010 2020
A Growing Gap
Volume
Velocity
Variety
Veracity
Value
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Extracting the value of the data
µs ms s min hour day month Year +
Value $
Time
Predict Prevent Prescript
Streams Operational Traditional Scientific
Comfort Zone
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Big Data is Breaking the Old Tools
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Lower cost,higher throughput
Highly constrained
Generation Collection & Storage
Analytics & Computation
Collaboration & Sharing
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Elastic and highly scalable
No upfront capital expense
Only pay for what you use+
+
Available on-demand+
=Remove constraints
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AnalyzeStore
Glacier
S3
DynamoDB
RDS, Aurora
AWS Big Data Portfolio
Data Pipeline
CloudSearch
EMR (Hadoop)
Redshift (DWH)
MachineLearning
ElasticSearchDatabase Migration QuickSight SQL over
Streams
Kinesis Firehose
Import Export (SnowBall)
Direct Connect
Collect
Kinesis (Streams)
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TRANSFORMATIONis treating Data as a
Production Assetas Capital
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Many Thousands of Companies Use AWS for Big Data
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”
“ • Wanted a platform to provide greater speed and scalability for analyzing petabyte-scale data
• Migrating mission-critical operations to AWS
• Can provide analysts with real-time access to 75 billion records collected daily
• Can move faster, more efficiently in serving core business processes
FINRA Performs Daily Petabyte-Scale Analysis on Trading Data Using AWS
The Financial Industry Regulatory Authority (FINRA) is the largest independent regulatory authority in the
United States. It is based in Washington, D.C.
We chose AWS to deliver innovation at a much larger
scale and much faster to our core business. Saman Michael Far
Sr. Vice President of Technology
”
“
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World’s leading online travel company, with a portfolio that includes more than 150 travel sites in 70 countries.
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Migrated off legacy DW to Redshift (start to finish) in 7 man-months
Redshift costs 43% of legacy DW for the same data set (legacy DW cost $1.2M/ year)
Tuned queries now running faster in Redshift than on legacy system
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TRANSFORMATION
underpinned by Big Data
Join me on next session for the disruption recipe