aws summit auckland - big data & analytics -end to end on aws
TRANSCRIPT
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Russell Nash, Solutions Architect, Amazon Web Services
Peter McCallum, Head of Data and Insights, Qrious
Big Data & Analytics
End to End on AWS
Technical 101
Databases
Database
Data
Log
Data
Mobile High Velocity
Data
Analytics
Database
INGEST STORE
Devices
Web Servers
App Servers
Mobile
Amazon
Redshift
“When our analysts first started to do queries
on Amazon Redshift they thought it was
broken because it was working so fast”
- FT CTO John O’Donovan
Database
Data
ETL
INGEST
Amazon
Redshift
STORE
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
Databases
Log
Data
ETL
Storage
INGEST
Application
STORE
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
Database
Data
Amazon
RedshiftDatabases
Log
Data
SearchAmazon
Elasticsearch
Database
Data
Storage
INGEST
Amazon
Redshift
STORE
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
Databases
Log
Data
Amazon
Elasticsearch
Amazon
S3
CPU
c3 family
cc1.4xlarge
cc2.8xlarge
Memory
m2 family
r3 family
Disk/IO
d2 family
i2 family
General
m1 family
m3 family
Instance Types
Batch Machine Spark and Large
process learning interactive HDFS
Database
Data
INGEST
Amazon
Redshift
STORE
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
Databases
Log
Data
Amazon
Elasticsearch
Amazon
S3
Stream
ProcessorAmazon
Kinesis
NoSQL
Availability
Zone
Availability
Zone
Availability
Zone
Data Sources
Data Sources
Data Sources
Data Sources
Data Sources
S3
DynamoDB
Redshift
Amazon Kinesis
Stream
AWS Lambda
KCL App
EMR
Elasticsearch
Database
Data
INGEST
Amazon
Redshift
STORE
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
Databases
Log
Data
Amazon
Elasticsearch
Amazon
S3
Amazon
Kinesis
NoSQLAmazon
DynamoDB
INGEST STORE PROCESS
DatabasesAmazon
Redshift
Amazon
Kinesis
Amazon
S3
Impala
Amazon
Redshift
Amazon
EMR
Database
Data Inte
ractive
Ba
tch
Str
ea
min
g
Hadoop
Amazon
Elasticsearch
Log
Data
Mobile High Velocity
Data
Devices
Web Servers
App Servers
MobileAmazon
DynamoDB
INGEST STORE PROCESS
Impala
Amazon
Redshift
Database
Data
Inte
ractive
Ba
tch
PIG
Str
ea
min
g
Amazon
EMR
Hadoop
Amazon
Kinesis
Amazon
S3
Amazon
Elasticsearch
Mobile High Velocity
Data
Devices
Web Servers
App Servers
MobileAmazon
DynamoDB
Databases
Log
Data
Amazon
Redshift
INGEST STORE PROCESS
Impala
Amazon
Redshift
AWS
Lambda
Kinesis
Consumers
Database
Data
Inte
ractive
Ba
tch
Str
ea
min
g
PIG
Amazon
EMR
Hadoop
Amazon
Kinesis
Amazon
S3
Amazon
Elasticsearch
Mobile High Velocity
Data
Devices
Web Servers
App Servers
MobileAmazon
DynamoDB
Databases
Log
Data
Amazon
Redshift
INGEST STORE PROCESS
Impala
Amazon
Redshift
Kinesis
Consumers
Database
Data
Inte
ractive
Ba
tch
Str
ea
min
g
PIG
ANALYSE
Amazon
EMR
Hadoop
Amazon
QuickSight
Amazon
Kinesis
Amazon
S3
Amazon
Elasticsearch
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
AWS
Lambda
Amazon
DynamoDB
Databases
Log
Data
Amazon
Redshift
INGEST STORE PROCESS
Impala
Amazon
Redshift
Kinesis
Consumers
Database
Data
Inte
ractive
Ba
tch
Str
ea
min
g
PIG
ANALYSE
Amazon
EMR
Hadoop
Amazon
Kinesis
Amazon
S3
Amazon
Elasticsearch
Mobile High Velocity
Data
Devices
Web Servers
App Servers
Mobile
Amazon
QuickSight
Amazon
Machine
LearningL
MLlib
AWS
Lambda
Amazon
DynamoDB
Databases
Log
Data
Amazon
Redshift
AWS Training & Certification
Intro Videos & Labs
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help you learn to work
with 30+ AWS services
– in minutes!
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courses to build
technical skills –
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Online Labs
Practice working with
AWS services in live
environment –
Learn how related
services work
together
AWS Certification
Validate technical
skills and expertise –
identify qualified IT
talent or show you
are AWS cloud ready
Learn more: aws.amazon.com/training
Your Training Next Steps:
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Get Certified
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