- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
- Data

Sending VPC Flow Logs to S3 and Parsing the Logs via Amazon Athena
During this hands-on project you will explore using Amazon Athena, Amazon S3, and VPC Flow Logs to deploy an easily searchable analytics platform using SQL-like queries.

Lab Info
Table of Contents
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Challenge
Create the VPC Flow Log and Generate Records
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Create a brand new VPC Flow Log for the entire VPC.
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Name the flow logs
vpc-to-s3
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Set the filter to
All
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Set a
1 minute
aggregation interval -
Configure the flow log to be sent to your new Amazon S3 bucket
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Use the AWS default format
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Use the
Parquet
log file format -
Enable
Hive-compatible S3 prefixes
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Partition logs by every
1 hour
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Browse to the DNS entry for
OurApplicationLoadBalancer
using HTTP and refresh a couple of times to generate traffic -
Wait a few minutes and refresh the S3 objects list until you start seeing objects generated before you move on
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Challenge
Set up Amazon Athena
- Change your Athena settings to save query results to your new Amazon S3 bucket and append
/queries/
to the end of the bucket name (Example: _s3://csaa-hol-213432inh32i4/queries/) - Create a new database called
vpc_flow_logs_db
within theAwsDataCatalog
data source. SQL Query - Create Database - Within the new database, create a new table called
vpc_flow_logs
. SQL Query - Create Table - After successful, update and repartition the table using MSCK. SQL Query - Repair Table and Update Partitions
- Run a SQL query of your choosing!
- If you receive a DDL error when attempting to run the MSCK command, execute the Fixing Errors steps and restart the Athena process.
- Change your Athena settings to save query results to your new Amazon S3 bucket and append
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Challenge
Create the Amazon S3 Bucket
- Create a new S3 bucket that is prefixed with
csaa-hol-
- Create a new S3 bucket that is prefixed with
About the author
Real skill practice before real-world application
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