No matter the type of architecture   Cloud Data Integration

It’s been said that when it comes to large-scale, complex software builds, a little planning can help reduce a lot of waste. By getting the right architecture we are able to plan a way to govern how work gets done over the life of your project, from the tools, technologies, patterns, and frameworks to be used, to the teams and how they are structured.

Cloud Architecture

Cloud architecture is the way technology components combine to build a cloud, in which resources are pooled through virtualization technology and shared across a network.

There are 3 main types of cloud computing services: Infrastructure as-a-Service (IaaS), Platforms-as-a-Service (PaaS) and Software-as-a-Service (SaaS) where as Integration-as-a-Service (iPaaS) is for the integration space and can run across one or more of the cloud computing services combining the different services allowing a seamless integration between applications.

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Data Architecture

Data architecture is a framework for how IT infrastructure supports your data strategy. The goal of any data architecture is to show the company's infrastructure how data is acquired, transported, stored, queried, and secured. A data architecture is the foundation of any data strategy.

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Integration Architecture

Integration Architecture is a major part of every company's IT landscape, that simplifies the integration of numerous IT components and enables you to trace data flows between applications. Architecture changes with the advances in cross-platform utility and other development paradigms for new kinds of digital operations.

In some senses, integration is about "breaking down silos" and helping different software programs to communicate. Embedding an application in a greater context can require specialized tools, such as application programming interfaces (APIs), made specifically for the purpose of allowing this kind of integration. 

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