Archives: pastevent

Integrating SaaS application using Microsoft’s Azure App Service Platform

Software as a Service applications have made significant inroads into the enterprise By nature all of these applications are on islands until you can start to exchange Read more

Service Fabric – building tomorrows applications today

Using Microsoft Service Fabric to build applications for fault tolerance and zero down time Learn how the fabric of Microsoft Azure has now been brought to your Read more

Data Integration with SSIS and Lifecycle Management

A discussion about DILM (Data Integration Lifecycle Management) using Microsoft SQL Server Integration Services Read more

A Lap around Azure Data Factory

Azure Data Factory is one of the newer data services in Microsoft Azure and is part of the Cortana Analyics Suite, providing data orchestration and movement Read more

Fact or not: Is EDI here to stay?

EDI is a standard that is typically used in supply chain and logistic for exchanging business data Although it’s wide usage is it still relevant in this new world of Read more

BizTalk Continuous Integration & Continuous Deployment

The session will show how to do Continuous Integration & Continuous Deployment with BizTalk solutions, using the BizTalk Deployment Framework (BTDF), Visual Studio Read more

An Intro to AS4, the Successor of AS2

In this session (AS4 for B2B), Glenn and Toon will provide some basic insights into the recent B2B messaging protocol Read more

Big Data in Real-time: Event Hubs at Massive Scale

This session will highlight how some of the largest Event Hubs customers use the service to ingress and process millions of telemetry points per Read more

Renewable Energy, IoT and Integration

In this session, Steef will go in depth to talk about how integration relates to Internet of Things in the Utilities space dealing with renewable energy In utilities Read more

Analyzing StackExchange data with Azure Data Lake

Gaining insights in your pile of data is something different Based on a data dump of the well-known StackExchange websites, we will store & analyse 150+ GB of data Read more

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