Mobile Data: Structured Data Storage

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This session will cover storing data for your mobile app, including file storage and NoSQL storage. We will also integrate a synchronized data store into our example Android app to show how easy it is to use.

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Structured Data Storage
Adrian Hall / Dennis Hills
Developer Advocates / AWS Mobile

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Store Data in the Cloud
• Unstructured Data
– Photos, Videos, Audio
– Generally NOT searched
• Structured Data
– News Posts, Comments, Customer Records
– Also meta-data from unstructured data
– Generally IS searched
• Store data to:
– Transport the user experience between devices
– Provide backup of data in case of disaster

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved
SQL vs. NoSQL
SQL NoSQL
Normalized Denormalized
Relational Heirarchical
Ad-hoc queries Instantiated Views
Scale Vertically Scale Horizontally
Good for OLAP Good for OLTP at scale

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Amazon DynamoDB
• Fully Managed NoSQL Data Store
• Fast, Consistent Performance
• Highly Scalable
• Flexible
• Event driven programming
• Fine-grained access control

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved
Demonstration Time!
Amazon DynamoDB and AWS Mobile

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved
aws.amazon.com/mobile
Everything you need to connect
Your mobile app to the cloud

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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.

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

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.

API moderne real-time per applicazioni mobili e web

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.

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

Amazon Web Services

Tools for building your MVP on AWS

Amazon Web Services

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Building a web application without servers

Amazon Web Services

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AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

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.

Introduzione a Amazon Elastic Container Service

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Database Oracle e VMware Cloud on AWS i miti da sfatare

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API moderne real-time per applicazioni mobili e web

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How to Build a Winning Pitch Deck

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Mobile Data: Structured Data Storage

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved Structured Data Storage Adrian Hall / Dennis Hills Developer Advocates / AWS Mobile

2. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved Store Data in the Cloud • Unstructured Data – Photos, Videos, Audio – Generally NOT searched • Structured Data – News Posts, Comments, Customer Records – Also meta-data from unstructured data – Generally IS searched • Store data to: – Transport the user experience between devices – Provide backup of data in case of disaster

3. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved SQL vs. NoSQL SQL NoSQL Normalized Denormalized Relational Heirarchical Ad-hoc queries Instantiated Views Scale Vertically Scale Horizontally Good for OLAP Good for OLTP at scale

4. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved Amazon DynamoDB • Fully Managed NoSQL Data Store • Fast, Consistent Performance • Highly Scalable • Flexible • Event driven programming • Fine-grained access control

6. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved aws.amazon.com/mobile Everything you need to connect Your mobile app to the cloud

Mobile Data: Structured Data Storage

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