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Architecting IoT Data Ingestion with Azure Data Services
Mike Benkovich explore the Azure Data Services, explaining the differences between them and showing how to architect an IoT ingestion system in the cloud.
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Managing Thousands of Data Services @Heroku
Gabriel Enslein discusses the evolution of fleet orchestration, immutable infrastructure, security auditing for managing data services for many Salesforce customers.
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Consuming Data Services with Spring Apps on Cloud Foundry
This talk covers how the Spring Boot and the Cloud Foundry Java Buildpack auto-configuration mechanisms work, their limitations, and how to explicitly configure connections when needed.
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Building an Enterprise PaaS
Dave McCrory discusses what it takes to build an Enterprise Platform as a Service, covering data services, design principles, CI, monitoring, coding standards, dependencies, security, and deployment.
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Implementing SOA through Linked Data
Thomas Bandholtz explains how Linked Data can be used to implement SOA in order to make datasets available throughout the enterprise, crosslink distributed datasets, and to master data management.
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Google App Engine and the Google Data APIs
This presentation introduces the Google App Engine and an overview of its features while building a simple application. Integration with the Google Data APIs is demonstrated.
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Google Data API (GData)
The Google Data API (GData) provides a query language and Atom to provide search, read, and update capabilities to Google assets, including Calendar, Blogger, Picasa, CodeSearch, and Google Base.
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