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Alex Casalboni
October 16, 2017
Technology
1
100
End-to-end serverless data pipeline on AWS
Use case powered by Amazon Kinesis, Lambda, Athena, and QuickSight.
Alex Casalboni
October 16, 2017
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Transcript
clda.co/sls-milano-data-pipeline End-to-end serverless data pipeline on AWS Powered by Amazon
Kinesis, Lambda, Athena, and QuickSight 10/19/2017
About Me @alex_casalboni clda.co/sls-milano-data-pipeline Computer Science Background Master in Sound
& Music Engineering Sr. SoBware Engineer & Web Developer Cloud Evangelist @ Cloud Academy
clda.co/serverless-italy Call for Speakers! clda.co/sls-milano-data-pipeline
Agenda Prerequisites Use Case / Requirements Serverless Architecture Hands-on Demo
clda.co/sls-milano-data-pipeline
Prerequisites Breve introduzione dei singoli servizi clda.co/sls-milano-data-pipeline
AWS Lambda clda.co/sls-milano-data-pipeline FaaS (FuncOon as a Service) NodeJs, Python,
Java, C#, etc. Event-driven
Amazon S3 clda.co/sls-milano-data-pipeline PB-scale Object-storage 99.999999999% durability SSE Support Can
trigger Lambda (per-object)
Amazon Kinesis (Streams) clda.co/sls-milano-data-pipeline Real-Ome data ingesOon Shards scale up/down
Almost Serverless Can trigger Lambda (batch)
Amazon Athena clda.co/sls-milano-data-pipeline InteracOve SQL queries over S3 Transparent compute
provisioning “Serverless Database” Results are stored on S3 too
Amazon QuickSight clda.co/sls-milano-data-pipeline Business Intelligence (BI) Powered by SPICE (in-memory
engine) Can read from RedshiB, RDS, Aurora, Athena, S3, EMR, etc. Monthly subscripOon (not really PAYG)
Amazon IAM clda.co/sls-milano-data-pipeline IdenOty & Access Management Very granular permissions
Free service (use it!)
Amazon Cognito clda.co/sls-milano-data-pipeline Federated idenOOes Role-based temporary credenOals Data Sync
and User Management (Pools) Complex but useful (use it!)
Use Case / Requirements Descrizione del caso d’uso clda.co/sls-milano-data-pipeline
Real-Ome Fraud DetecOon clda.co/sls-milano-data-pipeline Real-0me ingesOon of credit card transacOons
Stream processing, data validaOon, and fraud detecOon Secure storage of transacOons Real-0me analysis and reporOng
AddiOonal Requirements clda.co/sls-milano-data-pipeline Many heterogeneous event producers (temporary credenOals) Elas0c
architecture (no upfront costs & easy to scale up) Extensible architecture (plug-and-play components) A lot of data (cheap storage, please!)
Serverless Architecture Come lo implemen7amo senza ges7re server? clda.co/sls-milano-data-pipeline
Architecture Diagram clda.co/sls-milano-data-pipeline
IngesOon & Processing (simple) clda.co/sls-milano-data-pipeline
IngesOon & Processing (opOmized) clda.co/sls-milano-data-pipeline
IngesOon & Processing (real-Ome analyOcs)
Serverless Data Analysis clda.co/sls-milano-data-pipeline
Hands-on Demo Sporchiamoci un po’ le mani clda.co/sls-milano-data-pipeline
clda.co/sls-milano-data-pipeline < demo >
Grazie =) Domande? 10/19/2017 clda.co/sls-milano-data-pipeline