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Data engineering
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== Lifecycle == === Business planning === Business objectives that executives set for what's to come are characterized in key business plans, with their more noteworthy definition in tactical business plans and implementation in operational business plans. Most businesses today recognize the fundamental need to grow a business plan that follows this strategy. It is often difficult to implement these plans because of the lack of transparency at the tactical and operational degrees of organizations. This kind of planning requires feedback to allow for early correction of problems that are due to miscommunication and misinterpretation of the business plan. === Systems design === The design of data systems involves several components such as architecting data platforms, and designing data stores.<ref name="course">{{cite web |title=Introduction to Data Engineering |url=https://www.coursera.org/learn/introduction-to-data-engineering |website=Coursera |access-date=31 July 2022 |language=en}}</ref><ref>{{Cite book|title=What are The Phases of Information Engineering|last=Finkelstein|first=Clive}}</ref> === Data modeling === {{ main article | Data modelling }} This is the process of producing a [[data model]], an [[abstract model]] to describe the data and relationships between different parts of the data.<ref name="model1">{{cite web |title=What is Data Modelling? Overview, Basic Concepts, and Types in Detail |url=https://www.simplilearn.com/what-is-data-modeling-article |website=Simplilearn.com |access-date=31 July 2022 |date=15 June 2021}}</ref>
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