Data warehousing data mining

  • 5 examples of data warehouse

    Data Warehouse Implementation is a series of operations required to build a data warehouse that is completely functional.
    These operations follow the steps of classifying, evaluating, and creating the data warehouse in line with the requirements of the customer..

  • Data warehouse and data mining topics

    Data processing occurs when data is collected and translated into usable information.
    Usually performed by a data scientist or team of data scientists, it is important for data processing to be done correctly as not to negatively affect the end product, or data output..

What is the difference between data mining and data warehousing?

The data mining stage involves analyzing data to discover unknown patterns, relationships and insights

Data warehousing is part of the “plumbing” that facilitates data mining, and is taken care of primarily by data engineers and IT

Data mining is performed by business analysts or data scientists who have a deep understanding of the data


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