High-Performance Systems Integration

Systems integration is all about connecting systems together, automating processes that use data and unlocking the flow of data in your organisation.

What makes 345 different?  We work at the sharp end of integration, where connecting systems together is demanding because of data volume, mission-critical demands or high complexity.  If you want to move a text file from accounts to purchasing you might want to find someone else.  If you need to process data from a million devices around the world every second, you need 345.

High performance systems integration is the gateway to Big Data.  Integration is an essential skill within the discipline of Data Engineering.  

Some examples of the integration work we carry out are:

Scalable APIs:  Building cloud APIs so scalable they can handle mind-boggling numbers of messages every second.

Message Buses:  Message buses are your data backbone.  Every solution that processes big data has one of these, and we can make sure you have one built for your needs.

Workflow and Automation: Systems have been replacing the human element in businesses for decades now, and there is still more to come.  We build decision engines that bring in human eyes for exceptions and edge cases whilst ensuring the standard cases are automated.

Next: Data Platforms

Integration gets you tapped into the data in your business, next you need to understand the data platforms you will need.

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BizTalk Migrator 2020 Images - Webinar 1 first view 1
BizTalk Migrator Tool
Andrew Rivers

Webinar Series #1: BizTalk Migrator is released! First view here! 3rd November 2pm GMT

As you know – we’ve been following the BizTalk Migrator ever since the private preview was announced at Integrate in May 2020.  Microsoft have now announced the release of the tool.

The good news is…the wait is finally over!  Following hot on the heels of the BizTalk Migrator’s launch we’re going to take you through your first tour of the BizTalk Migrator so you get to experience how it works and what you need to do to get started.

We’ll cover off the following:

Running against a sample scenario
Viewing the report
Deploying the output

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