Importance of Data Science
Data is a valuable asset for many industries because it allows them to make more informed business decisions. Data science is capable of transforming raw data into meaningful insights.
In the design and development of databases, data modelling is critical. Within an organization, it is the process of developing a conceptual representation of the data and its relationships.
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We discuss many important concepts in the field of Data Engineering. In this blog, read about interesting topics such as Data Warehouse, Data Lake, CDC, ETL, Big Data processing, real-time data, data architecture, and Cloud Computing.
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Data Science is defined as the entire process of extracting actionable insights from raw data, which includes concepts such as statistical analysis, data analysis, machine learning algorithms, data modelling, data preprocessing, and so on.
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