open source integration

The Open Integration Hub (OIH), has reached a milestone this week as it concludes the two-year funding commitment from Germany’s Federal Ministry for Economic Affairs and Energy (BMWi). Just to remind you, OIH project was founded in 2017 to create a central open source integration platform offering a uniform and secure standard for automatic data synchronization across various applications. With …

basics of data integration

How many times have we wondered whether school lessons will ever be useful in the outside world? I never thought of the importance of trigonometry until I tried to fit a large sofa through a narrow doorway! In a similar way – unless your career path takes you in certain directions – many may question the value of grammar in …

Software products vs. 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 …

integration best practices

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.  …

data integration project

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 …

Data Integration Best Practices – Integration Projects Costs

While defining a data integration project we should consider what, when and how we want to integrate. Once we have done this, we can move on with the last step of the plan: the costs. The billion-dollar question… how deep should we dig into our pockets?   If we want to have a realistic idea of the cost of our integration …

data integration best practices - data synchronisation vs. other types of integration

In the current chapter of our blog series on data integration best practices, we have already talked about different communication types for data integration – synchronous vs. asynchronous. We have also talked about the main difference between the types of systems that move data – direct data synchronization vs. an integration layer. In this installment of the series, we would …

Data integration best practices – What systems move data

Obviously, data cannot move itself. A processor somewhere must pick up and move data somewhere else. So, while in the previous blog article of our series Data Integration Best Practices we talked about HOW we can move data, this time we are going to see WHAT moves data between systems and the design choices that we need to consider for …

Request-Reply vs Asynchronous Integration

Moving on to the next chapter of our blog series, namely about different types of integration, in this article we’re going to explore the main two types of integrations: asynchronous integration and synchronous integration. Whether you need a fast response of the systems involved or the results to be delivered further in the future; both, request-replay or asynchronous integration, offer …

Handling integration errors

As we mentioned at the very beginning of our blog series, all integration problems essentially fall into two large categories: the problems that have to do with the technical mechanics of integration and the problems that concern the correct application of business rules. There are, however, certain types of problems that originate in both. In this article, which is closing …