This document discusses how enterprises are being disrupted by new technologies and how they can leverage data and analytics on the cloud. It introduces the concepts of the "Third Platform" of mobile, social, and cloud technologies driving IT spending. It then outlines how companies can build a modern data architecture on AWS to ingest, store, process, analyze and gain insights from data in real-time and at scale. This will allow them to enhance applications and digital services with data-driven insights.

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Dean Samuels
Head of Solutions Architecture
AWS Hong Kong & Taiwan

2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Gold Sponsor
Sponsors
Supporting Partners

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Enterprises are being Disrupted
Opportunity
MediaHotels TaxisMusic

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The 3rd Platform
Mobile Social Data Cloud
By 2019, 3rd Platform technologies and services will drive nearly
75% of IT spending – growing at twice the rate of the total IT market
https://www.idc.com/promo/thirdplatform/fourpillars
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The 3rd Platform
Data
By 2020, new cloud pricing models will service specific analytics
workloads, contributing to 5x higher spending growth on cloud vs.
on-premises analytics
https://www.idc.com/promo/thirdplatform/fourpillars/bigdataanalytics
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Three big indicators of individual behavior
Purchases Movement Influence

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A platform to build business outcomes from data
Purchases
Movement
Influence
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
1 4
0 9
5
Revenue Lift
Market
acquisition
Customer delight
Brand advocacy
Inventory
optimization
Supply chain
efficiency
...

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Experimentation is fast and cost-efficient
-- Win fast, fail cheap

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Speed (Real-time)
Ingest ServingData
sources
Scale (Batch)
Modern data architecture
Insights to enhance business applications, new digital services
Transactions
Web logs /
cookies
ERP
Data analysts
Data scientists
Business users
Engagement platformsConnected
devices
Social media Automation / events
DATA PIPELINES
EVENT PIPELINES

10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Speed (Real-time)
Ingest ServingData
sources
Scale (Batch)
Modern data architecture
Insights to enhance business applications, new digital services
Transactions
Web logs /
cookies
ERP
Data analysts
Data scientists
Business users
Engagement platformsConnected
devices
Social media Automation / events
DATA PIPELINES
EVENT PIPELINES
Data
Event Engagement
Insights
Data
Lake
ML / Analytics
Predict /
Recommend
AI

11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Speed (Real-time)
Ingest ServingData
sources
Scale (Batch)
Modern data architecture
Insights to enhance business applications, new digital services
Transactions
Web logs /
cookies
AWS Database
Migration
AWS Direct
Connect
Internet
Interfaces Amazon S3
Raw Data
Amazon S3
Staged Data
(Data Lake)
Amazon EMR
ETL
AWS
Cloud Trail
AWS
IAM
Amazon
CloudWatch
AWS
KMS
Data analysts
Data scientists
Business users
Engagement platforms
Amazon
Kinesis
Connected
devices
Social media
Advanced
Analytics
MLlib
Event Capture
Amazon Kinesis
Stream Analysis
Amazon EMR Event Scoring
Amazon AI
Event Handler
AWS Lambda Response Handler
AWS Lambda
Automation / events
Schemaless
Amazon ElasticSearch
Direct Query
Amazon Athena
Near-Zero Latency
Amazon DynamoDB
Semi/Unstructured
Amazon EMR
ERP
Enterprise Apps
Oracle, Teradata,
SQL Server, MySQL, et
Data Warehouse
Amazon Redshift

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§Build an entire analytics application to power your business
§Scale Hadoop cluster to thousands of instances in minutes
§Leverage powerful AWS compute instances using Intel technology
Big Data Spotlight: Analytics

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Thank you!
Dean Samuels
Head of Solutions Architecture
AWS Hong Kong & Taiwan