BDT201 AWS Data Pipeline - AWS re: Invent 2012

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In this session, we'll review the features and architecture of the new AWS Data Pipeline service and explain how you can use it to better manage your data-driven workloads. We'll then go over a few examples of setting up and provisioning a pipeline in the system.

Amazon S3 Amazon
RDS

Amazon Amazon
DynamoDB Redshift

HDFS
On
(Amazon EMR)
Premise

Input Datanode

Activity

[Output Datanode]

Input Datanode with precondition check

Activity with failure & delay notifications

Ouput Datanode

Data Data

Data Stores Data Stores
Compute Resources

Monthly
Daily

Hourly

Quarterly
Yearly

Weekly

S3 logs (hourly) Geolocation data

Per-geography
usage computation
(hourly)

Redshift
results

S3 logs (hourly) Geolocation data
Precondition: files exist Precondition: ./geo_available

Per-geography
usage computation
(hourly)

Redshift
results

Dynamo RDS
event data demographics

Hive-based
analysis (hourly)

Redshift
results

Hourly click updates Hourly event analysis

Daily reporting SQL

Custom Amazon RDS
Amazon S3 Amazon demographics
logs Precondition DynamoDB
event data
Hive
script
EMR usage-by-geo job

Amazon
Redshift
DW table
Amazon Redshift Amazon EC2
DW table report generation

We Manage You Manage

EMR Clusters EC2
EC2
Instances
Instances

EMR Clusters
On Premise Resources

{
"objects" : [
{
"name" : “My Copy”,
"type" : “Copy Action”,
“input”: {“ref” : “My RDS Data”},
“output”: {“ref” : “My S3 Data”},
”runsOn” : {“ref”: “My Instance”},
"schedule" : { "ref" : “My Schedule" } },
{
"name" : ”My Instance”,
"type" : ”EC2Instance”,
"instanceType" : "m1.small”,
"schedule" : { "ref” : “My Schedule" } },
…..
}

On AWS On Premise
High $1/month $2.50/month
Frequency
Low Frequency $.60/month $1.50/month

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hear your feedback on this
presentation and on re:Invent.

Please fill out an evaluation
form when you have a
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Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS. In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.

Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

Amazon Web Services

La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup. Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti. Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.

Esegui pod serverless con Amazon EKS e AWS Fargate

Amazon Web Services

Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi

Costruire Applicazioni Moderne con AWS

Amazon Web Services

Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.

Come spendere fino al 90% in meno con i container e le istanze spot

Amazon Web Services

L’utilizzo dei container è in continua crescita. Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili. I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!

Open banking as a service

Amazon Web Services

In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th. Event Agenda : Open banking so far (short recap) • PSD2, OB UK, OB Australia, OB LATAM, OB Israel Intro to Open Finance marketplace • Scope • Features • Tech overview and Demo The role of the Cloud The Future of APIs • Complying with regulation • Monetizing data / APIs • Business models • Time to market One platform for all: a Strategic approach Q&A

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Amazon Web Services

Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc. AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta. Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Amazon Web Services

Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity. AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet. Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Amazon Web Services

Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.

Computer Vision con AWS

Amazon Web Services

Database Oracle e VMware Cloud on AWS i miti da sfatare

Amazon Web Services

Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti. Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Amazon Web Services

Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti. Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire. Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito. In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.

API moderne real-time per applicazioni mobili e web

Amazon Web Services

Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline. Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Amazon Web Services

Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali. In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.

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Introduzione a Amazon Elastic Container Service

Amazon Web Services

Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.

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BDT201 AWS Data Pipeline - AWS re: Invent 2012

6. Amazon S3 Amazon RDS Amazon Amazon DynamoDB Redshift HDFS On (Amazon EMR) Premise

7. Amazon DynamoDB Amazon S3

9. Amazon S3 Amazon RDS Amazon Amazon DynamoDB Redshift HDFS On (Amazon EMR) Premise

10. Amazon S3 Amazon RDS Amazon Amazon DynamoDB Redshift HDFS On (Amazon EMR) Premise

11. Amazon S3 Amazon RDS Amazon Amazon DynamoDB Redshift HDFS On (Amazon EMR) Premise

12. Amazon S3 Amazon RDS Amazon Amazon DynamoDB Redshift HDFS On (Amazon EMR) Premise

13. Amazon S3 Amazon RDS Amazon Amazon DynamoDB Redshift HDFS On (Amazon EMR) Premise

14.

15.

16. Input Datanode Activity [Output Datanode]

17. Input Datanode with precondition check Activity with failure & delay notifications Ouput Datanode

18.

19.

20. Data Data Data Stores Data Stores Compute Resources

21.

22. Start Interval [End]

23. Noon Today 1 hour

24. 12-1pm X 1-2pm 2-3pm …..

25. 12-1pm X 1-2pm 2-3pm X 1 day …..

26. Monthly Daily Hourly Quarterly Yearly Weekly

27.

28.

29. S3 logs (hourly) Geolocation data Per-geography usage computation (hourly) Redshift results

30. S3 logs (hourly) Geolocation data Precondition: files exist Precondition: ./geo_available Per-geography usage computation (hourly) Redshift results

31.

32. Dynamo RDS event data demographics Hive-based analysis (hourly) Redshift results

33.

34. Hourly click updates Hourly event analysis Daily reporting SQL

35.

36. Custom Amazon RDS Amazon S3 Amazon demographics logs Precondition DynamoDB event data Hive script EMR usage-by-geo job Amazon Redshift DW table Amazon Redshift Amazon EC2 DW table report generation

37. Custom Amazon RDS Amazon S3 Amazon demographics logs Precondition DynamoDB event data Hive script EMR usage-by-geo job Amazon Redshift DW table Amazon Redshift Amazon EC2 DW table report generation

38.

39. We Manage You Manage EMR Clusters EC2 EC2 Instances Instances EMR Clusters On Premise Resources

40.

41.

42.

43.

44.

45. { "objects" : [ { "name" : “My Copy”, "type" : “Copy Action”, “input”: {“ref” : “My RDS Data”}, “output”: {“ref” : “My S3 Data”}, ”runsOn” : {“ref”: “My Instance”}, "schedule" : { "ref" : “My Schedule" } }, { "name" : ”My Instance”, "type" : ”EC2Instance”, "instanceType" : "m1.small”, "schedule" : { "ref” : “My Schedule" } }, ….. }

46.

47. On AWS On Premise High $1/month $2.50/month Frequency Low Frequency $.60/month $1.50/month

48.

49.

50. We are sincerely eager to hear your feedback on this presentation and on re:Invent. Please fill out an evaluation form when you have a chance.

BDT201 AWS Data Pipeline - AWS re: Invent 2012

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