In this hands-on workshop, you learn best practices and architectural patterns for building streaming data processing pipelines without servers. Using Amazon Kinesis, AWS Lambda, and other services, you have the opportunity to build, deploy, and monitor an application to ingest and process high-velocity data at scale. This advanced workshop assumes that you have experience writing Lambda functions and understand the basics of the AWS serverless platform, so come ready to dive into the deep end. Bring your laptop with a full keyboard. We provide a sandbox AWS account for you to use during the workshop.

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Advanced Serverless Data
Processing
Mike Deck
Partner Solutions Architect
Amazon Web Services
G P S W S 4 0 6
Ian Scofield
Partner Solutions Architect
Amazon Web Services
Dave Rocamora
Partner Solutions Architect
Amazon Web Services

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What to expect
11:30 a.m. Introductory concepts
Module 1 – Data ingestion and transformation
11:50 a.m. Intro
12:00 p.m. Hands on
Module 2 – Aggregation, archival and reporting
12:45 p.m. Intro
1:00 p.m. Hands on

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The challenge

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System characteristics

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Serverless means…
No servers to provision
or manage Scales with usage
Never pay for idle Availability and fault
tolerance built in

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In the event of failure…

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i·dem·po·tent

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Making messages idempotent
Message ID
Version number
Report full state

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Ordering trade offs
Well-ordered Unordered

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Choose the right service

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17. Thank you!
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