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Using AWS Athena to Analyze
Structured Data Stored in S3
Feb 6, 2018 Dave North, Director of DevOps
|© 2018 Signiant, Inc.
Agenda
Intro
Athena Overview
ELB logs
ELB Log Analysis
Resources
2
|© 2018 Signiant, Inc.
Intro
3
|© 2018 Signiant, Inc. 4
ABOUT DAVE
@DaveNorth
linkedin.com/in/dnorth98
dnorth@signiant.com
|© 2018 Signiant, Inc.
MOVE LARGE FILES FAST
Over Public &
Private IP NetworksIn Their Entirety Within & Between Enterprises
... And Into the Cloud
5
|© 2018 Signiant, Inc.
Athena Overview
6
|© 2018 Signiant, Inc.
Serverless SQL Queries
7
SELECT *
FROM my_athena_table
WHERE my_field = ‘foo’
|© 2018 Signiant, Inc.
ELB Logs
8
|© 2018 Signiant, Inc. 9
ENABLING ELB LOGS
|© 2018 Signiant, Inc. 10
SAMPLE ELB LOGS
|© 2018 Signiant, Inc.
ELB Log Analysis
11
|© 2018 Signiant, Inc.
Old School
12
SELECT elb_status_code, count(*)
FROM my_elb_log_table
GROUP BY elb_status_code
ORDER BY count(*) DESC
ELB LOG ANALYSIS
cat access.log | cut -d '"' -f3 | cut -d ' '
-f2 | sort | uniq -c | sort -rn
Athena School
|© 2018 Signiant, Inc.
Demos
13
|© 2018 Signiant, Inc.
Resources
14
|© 2018 Signiant, Inc.
Resources
Parquet Log: (https://goo.gl/ZK6une)
Papertrail logs with Athena (https://goo.gl/QbW5M5)
https://github.com/Signiant/athena_table_defs
https://github.com/Signiant/aws-ecs-lb-athena-table
https://medium.com/signiant-engineering
15
INTELLIGENT FILE MOVEMENT SOFTWARE

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Aws meetup feb 7 2018 (athena)