The good purposes of integration architecture

Contents

The architecture of the company's data systems is, for most users, a great unknown but, If the existence of an integration architecture is not recognized, it is not feasible to explain how scalability affects, the ability to support real-time, master data management, SOA and interoperability with data quality and integration tools.

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Photo credits: istock visual jnt

Objectives of the integration architecture: from need to purpose

The data is generated, they flow and do not stop moving throughout their entire life cycle. They come from very diverse sources of origin, they transform and end up being loaded in all kinds of destinations. It happens every day, It is normal, we are used to it and, therefore, Companies have learned to live with the heterogeneity of their data and are aware that its administration involves increasing complexity..

The integration architecture seeks to put order in an environment where chaos is constant Y, for this, is in charge of laying the foundations for achieve the following goals:

  • Inspire development rules: this way, based on architectural patterns, They provide a comprehensive view of the infrastructure and implementations that have been progressively incorporated into the original. This objective should be understood as support for collaboration, because the truth is that, When you have the possibility to continue with a job that was already in progress, it is easier to achieve higher speed and work more agile.. Provided development standards are observed and established patterns are followed, better performance is achieved Y, at the same time, standardization is ensured that also benefits the organization in the long term.
  • Promote reuse: In an organization, it is very common for new software to be implemented or the latest applications or systems that appear as a novelty on the market are introduced.. The integration architecture facilitates that, Instead of having to start from scratch every time a new project is started that seeks to unite existing technology with new incorporation, the same development rules can be applied. Like these rules, as well as the architectural patterns, apply to multiple data integration projects, the result is simplicity. Thus, interface reuse is encouraged, routines or tasks, among other; a practice that, at the same time, increases consistency in data management.
  • Ensuring the balance between common infrastructure and specific solutions: achieve the necessary harmony to be able to experience a optimal system operation at full capacity, it is critical that data integration servers and the interfaces they support enable the architecture. Integration architecture should help infrastructure never pose a barrier to functionality.

Data drives innovation and company growth, but only for companies that are prepared to manage data effectively. You need careful planning, a carefully designed technology investment strategy and also having anticipated the needs in terms of integration architecture.

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