Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
End-to-end serverless data pipeline on AWS
Search
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
Tweet
Share
More Decks by Alex Casalboni
See All by Alex Casalboni
Data-driven & cost-aware performance tuning for AWS Lambda
alexcasalboni
0
320
AWS Lambda function performance tuning - AWS re:Invent 2019
alexcasalboni
1
1.2k
Supercharge product development with cloud best practices - Web Summit 2019
alexcasalboni
0
110
AWS data services for machine learning - AWS Innovate Online
alexcasalboni
0
71
Advanced Serverless Architectural Patterns on AWS [Devoxx Poland]
alexcasalboni
0
270
Building a Modern Data Platform in the Cloud [AWS Dev Day @ Kyiv]
alexcasalboni
0
140
How to build a global serverless service [AWS Dev Day @ Kyiv]
alexcasalboni
0
78
Become a machine learning developer using AWS Machine Learning Services [AWS Summit @ Warsaw]
alexcasalboni
0
120
Getting started with AWS for Developers [Collision @ Toronto]
alexcasalboni
0
94
Other Decks in Technology
See All in Technology
やる気のない自分との向き合い方/How to Deal with Your Unmotivated Self
sanogemaru
0
510
JAZUG 15周年記念 × JAT「AI Agent開発者必見:"今"のOracle技術で拡張するAzure × OCIの共存アーキテクチャ」
shisyu_gaku
1
160
速習AGENTS.md:5分で精度を上げる "3ブロック" テンプレ
ismk
6
1.6k
物体検出モデルでシイタケの収穫時期を自動判定してみた。 #devio2025
lamaglama39
0
150
難しいセキュリティ用語をわかりやすくしてみた
yuta3110
0
140
大規模サーバーレスAPIの堅牢性・信頼性設計 〜AWSのベストプラクティスから始まる現実的制約との向き合い方〜
maimyyym
10
4.9k
研究開発部メンバーの働き⽅ / Sansan R&D Profile
sansan33
PRO
3
20k
20251007: What happens when multi-agent systems become larger? (CyberAgent, Inc)
ornew
1
300
名刺メーカーDevグループ 紹介資料
sansan33
PRO
0
930
コンテキストエンジニアリング入門〜AI Coding Agent作りで学ぶ文脈設計〜
kworkdev
PRO
3
1.4k
カンファレンスに託児サポートがあるということ / Having Childcare Support at Conferences
nobu09
1
580
WEBサービスを成り立たせるAWSサービス
takano0131
1
160
Featured
See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
189
55k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
Testing 201, or: Great Expectations
jmmastey
45
7.7k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.7k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Side Projects
sachag
455
43k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.6k
Build your cross-platform service in a week with App Engine
jlugia
232
18k
The Cost Of JavaScript in 2023
addyosmani
55
9k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
620
GraphQLとの向き合い方2022年版
quramy
49
14k
Designing Experiences People Love
moore
142
24k
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