Data Engineering

Data Engineering is the process of innovating, designing, developing, testing, and deploying a software data. The advent of Web 2.0 technologies and utility-based software delivery through Software as a Service has led to the process of gradual transformation of client-enabling engineering services from traditional software engineering to data engineering. Data engineering takes care of the entire data life cycle from the innovation phase, starting from the idea being conceived to the deployment and user acceptance testing phase.

Let us now understand, what are the various phases of data engineering? The various phases of data engineering are:

Independent QA/Testing

Reverse-engineering of large codebases/applications

Structures, statistical analysis, etc

Custom Solution Development

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Data Development Cycle

Plan (Idea and Concept), Design and Development, Testing, Launch, and Maintenance. As mentioned before, the Data Engineer should be included in the product development at a very early stage and contribute to every phase of it. Let’s look closer at how a Data Engineer can make the data more customer-oriented at every stage of its development.

Design and Development

During the Design Process, the Data Engineer plays an integral part in creating the most user-friendly and cost-effective data design possible. They research the usability of the design and propose different solutions and modifications to it. Besides being user and budget-friendly, the design idea should also be unique and with a great concept. Data Engineers can offer changes at every stage of design building. UX research is essential as it helps make the design user-friendly and ensure there’s a great functional interface.

Launch and Maintenance

The final stage is to launch your data after everyone involved in its development gives a green light. Then the target audience should be informed about the data by advertising, press releases, public events, etc. The Data Engineer is concerned about the users’ feedback on the data in order to find areas for improvement.

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