Pat Patterson

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streamsets salesforce force.com identity bigdata oauth iot salesforce.com open source rest hadoop gluecon big data apachespark cloudera cloud apis odata minecraft apachekafka web services saml facebook heroku cloud computing active directory mobile platform as a service telephony twilio sms postgresql postgres sql mobile application development citrix devops data integration einstein analytics imprivata streaming kafka etl dataops apachehive integration analytics schemaregistry datalake spark cassandra hexagon metrology scim developer relations openid connect federation javascript database-as-a-service

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Pat Patterson

Presentaciones

We don’t need no stinkin app server! Building a Two-Tier Mobile App

Create a Force.com-Powered Facebook App on Heroku

Hands-on with OAuth, Facebook and the Force.com Platform

Integrating Force.com with Heroku

Cloud Identity: What Happens Next?

Force.com: A Walk on the Enterprise Side

Adapting OAuth to the Enterprise

Taking Identity from the Enterprise to the Cloud

Mobile Developer Week

How I Learned to Stop Worrying and Love Open Source Identity

SAML Smackdown

Salesforce Integration with Twilio

How I Learned to Stop Worrying and Love Open Source Identity (Paris Edition)

OpenID Connect: An Overview

Identity in the Cloud

Using Salesforce to Manage Your Developer Community

API-Driven Relationships: Building The Trans-Internet Express of the Future

OData: A Standard API for Data Access

Enterprise IoT: Data in Context

OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)

Provisioning IDaaS - Using SCIM to Enable Cloud Identity

All Aboard the Boxcar! Going Beyond the Basics of REST

Ingest and Stream Processing - What will you choose?

Open Source Big Data Ingestion - Without the Heartburn!

Ingest and Stream Processing - What will you choose?

Building Custom Big Data Integrations

Adaptive Data Cleansing with StreamSets and Cassandra

Building Data Pipelines with Spark and StreamSets

Dealing With Drift - Building an Enterprise Data Lake

Efficient Schemas in Motion with Kafka and Schema Registry

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