matt wood, chief data scientist, amazon web services
TRANSCRIPT
a presentation at the UNITED NATIONS STATISTICAL COMMISSION
by
DR. MATT WOOD
introducing
BIG DATA ANALYTICS
Hello.
Thank you.
IData, data everywhere
I IIData, data everywhere
Data timeline
I II IIIData
securityData, data everywhere
Data timeline
I II III IVData
movementData, data everywhere
Data security
Data timeline
I II III IVData
movementData, data everywhere
Data security
Data timeline
0.Amazon web
Services
Compute, storage & databases.
Retail Merchantservices
Web services
Blinding flash of the obvious.
Available.
Low cost.
Flexible.
1.3 trillion objects835k peak requests/second
300 government agencies.1,500 educational institutions.
Data, data everywhereI
Generation
Collection & storage
Analytics & computation
Collaboration & sharing
Cost of data generation is falling.
Generation
Collection & storage
Analytics & computation
Collaboration & sharing
lower cost,increased throughput
Generation
Collection & storage
Analytics & computation
Collaboration & sharing
highly constrained
Gap.
1990 2000 2010 2020
The Data Analysis Gap
Enterprise Data Data in Warehouse
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
Generated data
Available for analysis
Data volume
Utility.
Remove constraints.
Generation
Collection & storage
Analytics & computation
Collaboration & sharing
highly constrained
Generation
Collection & storage
Analytics & computation
Collaboration & sharing
Close the gap.
Technologies and techniques for working productively with data, at any scale.
Data timelineII
Lots of data.Lots of users.Lots of uses.
Lots of locations.
Cost.
Multipliers.
Generation challenge.
Analytics challenge.
Co-evolution.
Co-evolution.
software
Co-evolution.
software
utility computing
Hadoop.
Availability challenge.
Beautiful and unique.
Snowflake Statistics
Data has gravity.
Move data to users.
Move data to users.X
Move tools to data.
Place data where it can be easily consumed.
Reusable environment.
Always more people outside your team, than within it.
Technologies and techniques for working productively with data, at any scale.
Data security.III
Security is our number one priority.
Shared responsibility.
Choose your region.
Availability zones.
ITAR
FIPS 140-2
MPAAISO 27001
SOC 2 ISAE 3402 PCI DSS
HIPAA
FISMA Moderate
Virtual Private Cloud.
Network isolated environment.
Data movement.IV
“How do I get my data into the cloud?”
Generated and stored in the AWS cloud.
Inbound transfer if free.
Multipart upload.
Physical media.
AWS Direct Connect.
1Gbps or 10Gbps
Built in AZ replication.
Regional replication.
aws.amazon.com
IData, data everywhere
I IIData, data everywhere
Data timeline
I II IIIData
securityData, data everywhere
Data timeline
I II III IVData
movementData, data everywhere
Data security
Data timeline
Thank you.
get in touch
@MZA
aws.amazon.com