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Data Analyst- Using R Course

8000

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information.

A data engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. These software engineers are typically responsible for building data pipelines to bring together information from different source systems. They integrate, consolidate and cleanse data and structure it for use in analytics applications. They aim to make data easily accessible and to optimize their organization’s big data ecosystem.

The amount of data an engineer works with varies with the organization, particularly with respect to its size. The bigger the company, the more complex the analytics architecture, and the more data the engineer will be responsible for. Certain industries are more data-intensive, including healthcare, retail and financial services.

Data engineers work in conjunction with data science teams, improving data transparency and enabling businesses to make more trustworthy business decisions.

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