Three mechanisms to detect data changes

In the previous article of our series Data Integration Best Practices, we defined that all problems related to data integration can be essentially broken down into two large categories: The ones that have something to do with technical mechanics and the ones that are connected to business rules. In the second article of this series, we will review one of …

Data integration best practices

The topic of data and application integration has such a wide coverage that there seemingly should be no questions left. And yet every now and then, we come across certain questions both from the IT people and the business users. So, we decided to answer the most frequently asked questions in our new blog series on data integration best practices. …

The link between integration, digital business strategy and new digital technologies

When we got the results of the trend study “Cloud Integration Excellence”, which was carried out in summer 2018 by the German IT research company Crisp Research on behalf of Deutsche Telekom, the Open Integration Hub project and us, elastic.io, it was, on the one hand, reassuring to see that the trends in SaaS application and data integration are going …

webhook security

While we are still working on a few major UX / UI enhancements of the elastic.io dashboard, we actually have some news on the non-UI side of our platform we’d like to share. The short version – it’s about giving you more options to webhook security . The long version… well. Secure your webhooks your favourite way If you’re using …

Docker and NodeJS as PID 1 on Kubernetes, Mesosphere and Co

At elastic.io, we are using the ideology “one process per Docker container“. Surely, we apply this ideology for running integration components as well. So, each of our integration components is actually one process inside of one Docker container, and each of these Docker containers is running on Mesosphere and Kubernetes. Recently, though we had been having some unexplainable issues with …

Integration flows versioning feature on elastic.io iPaaS

It’s been quite a while since we issued our last feature alert, but we wanted to wait until we finished this one special new feature. Now it is high time we introduce you to the integration flows versioning. Changing integration flows has become fail-safe Up until now, there have been a few ways to introduce changes in an active integration flow …

Data integration solutions and iPaaS

Integration platform as a service – or iPaaS – might be a less familiar term than ETL to data analysts, integration architects and anyone else who needs to move and shape data from source systems to target systems. However, the purpose of this tool is the same of ETL’s – extract, transform and load data. It is just that iPaaS …

Data integration and data analytics at the core

Last week we published the first part of our article on omnichannel, which came as a result out of an interview with Duncan Avis, Customer Enterprise Lead at Global KPMG Connected. We said that according to one of the latest KPMG studies, companies successful at omnichannel are also successful at eight core capabilities which imply connecting the front, middle and back …

omnichannel strategy

Most of the times when you search for omnichannel best practices and how-to’s, you come across dozens and dozens of articles about omnichannel sales, omnichannel marketing, omnichannel experience… which are, no doubt, important topics. But I would argue that they are, metaphorically speaking, merely the end result and not the cause. In other words, it’s not where one should start …

REST API component - Deutsche Bahn

An overwhelming number of applications use REST API to ensure communication with other applications and services. In fact, we have a REST API of our own and most of our connectors are built on top of certain REST APIs, such as MailChimp, SugarCRM, Salesforce, Magento, and so on. Typically, REST APIs are very fine-granular creatures composed of multiple GET-POST-PUT operations. …