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Placing responsibility for all the data sets on one data engineering team creates bottlenecks. Let’s consider how to break up our architecture into data mesh domains. In figure 4, we see our rawdata shown on the left. First, the data is mastered, usually by a centralized data engineering team or IT.
Data engineering is also about creating algorithms to access rawdata, considering the company's or client's goals. Data engineers can communicate data trends and make sense of the data, which large and small organizations demand to perform major data engineer jobs in Singapore.
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