Streamlining rudimentary, repetitive tasks, and turns several similar business processes into a single action with a few quick keystrokes. Well known benefits of process automation include increased productivity and efficiency because automation leaves the menial jobs to computers, such as process mining.

We believe you can automate all aspects of both software, data and cloud infrastructure so you end up with repeatable processes and take away the human error from deployments.


DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics.

At Data Engineers we are big believers that you can bring the same rigor to the Data Platforms as you would do when developing software. From being able to use source control through to performing unit testing through to continuous integration and deployments we are now able to apply the same to the world of Data. 

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DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development.

At Data Engineers we are big believer's that if you need to something more than once you need to automate it. This can be achieved through keeping everything as code so you can push your changes out via a workflow to your environment upon code check-in.

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Infrastructure As Code

Infrastructure as Code is the management of infrastructure (networks, virtual machines, load balancers, and connection topology) in a descriptive model, using the same versioning as DevOps team uses for source code. Like the principle that the same source code generates the same binary, an Infrastructure as Code model generates the same environment every time it is applied. 

Infrastructure as Code enables DevOps teams to test applications in production-like environments early in the development cycle. These teams expect to provision multiple test environments reliably and on demand. Infrastructure represented as code can also be validated and tested to prevent common deployment issues. At the same time, the cloud dynamically provisions and tears down environments based on Infrastructure as Code definitions.

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