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Integration

People Don't Want Software Products Anymore - They Want Software Ecosystems

Recently, I read an article called “For IoT, think about creating a minimum viable ecosystem” on Stacey on IoT blog, which got me thinking about what we ourselves have been observing in the SaaS sector. In particular, the article says: “With the internet of things, companies are no longer trying to create a product to offer value, but rather establish relationships between companies and individuals to create value.

PSD2 is spurring innovation in fintech industry, and ISVs need to keep up

By the September deadline, Europe’s banks and fintech companies should be compliant with the Second Payment Services Directive (PSD2). Rather than focusing inwards on business operations, PSD2 is an outward-looking directive. It encourages open access and competition in the banking industry. Organisations across the breadth of the industry are required to open their payments infrastructures and customer data to third parties.

Data Integration Best Practices - Separation of environments and log collection

In the previous article of our last chapter of Data Integration Best Practices, we took a look at how to describe integrations in such a way that everybody – from developers to business users – understands the requirements correctly. We also discussed why you eventually might need some type of an integration layer to keep your integration projects under control. In this article, we continue reviewing some tips that revolve around preparing for and running an integration project.

Data Integration Best Practices - How to set the framework for data integration projects

So far, in our blog series Data Integration Best practices, we have covered the different types of high-level and low-level problems occurring in data integration projects. We have also addressed the different types of integration, the systems that move data and even the pricing aspect of such a project. Ten articles later, we arrived at best practices moving forward. In this last chapter, we are going to talk about some tips that revolve around preparing for and running an integration project.

Data integration, iPaaS and elastic.io - How it all fits together (Explainer)

The number of applications that companies use hasn't stopped growing in the past years – quite on the contrary, it is now "exploding" more than ever before. Application integration comes from the desire to avoid siloed information in this scenario, but oftentimes, this is done only on need basis, resulting in cumbersome point-to-point integrations that only grow in their complexity.

Content Enrichment Demo

This screencast demonstrate how you could do a content enrichment integration pattern using elastic.io iPaaS. On the example integration where IoT device data got accepted by elastic.io integration platform, enriched with the Salesforce data and later on a new Zendesk incident report is created based on this information. You will see how you could efficiently combine multiple different data types as well as do a complex data transformation.