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  2. Data mining is the process of determining data patterns. A data warehouse is a database system designed for analytics. Data mining is generally considered as the process of extracting useful data from a large set of data. Data warehousing is the process of combining all the relevant data.
    www.javatpoint.com/data-mining-cluster-vs-data-warehousing
    www.javatpoint.com/data-mining-cluster-vs-data-warehousing
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    What is javatpoint data warehouse?Tutorial, Characteristics, Concepts - javatpoint Data Warehouse is a relational database management system (RDBMS) construct to meet the requirement of transaction processing systems. It can be loosely described as any centralized data repository which can be queried for business benefits.
    What is the difference between data warehouse and data mining?Data warehouse refers to the process of compiling and organizing data into one common database, whereas data mining refers to the process of extracting useful data from the databases. The data mining process depends on the data compiled in the data warehousing phase to recognize meaningful patterns.
    What is data warehousing & data mining?Data Warehousing and Data Mining - Data WarehousingData warehousing is a collection of tools and techniques using which more knowledge can be driven out from a large amount of data. This helps with the decision-making process and improving information resources. Data warehouse is basically a database of unique data structures that a
    How a data warehouse works?A data warehouse timely pulls out the data from various apps and systems, after then, the data goes through various processing and formatting and makes the data in a format that matches the data already in the warehouse. This processed data is stored in the data warehouses that ready for further analysis for decision making.
     
  4. WEBA Data Warehouse (DW) is a relational database that is designed for query and analysis rather than transaction processing. It includes historical data derived from transaction data from single and multiple sources.

  5. WEBData Warehouse Components | Data Warehouse Tutorial with Introduction, What is Data Warehouse, History of Data Warehouse, Data Warehouse Components, Operational Database Vs Data Warehouse etc.

  6. WEBA data warehouse is a single data repository where a record from multiple data sources is integrated for online business analytical processing (OLAP). This implies a data warehouse needs to meet the requirements from all …

  7. WEBData Warehouse Implementation with Introduction, What is Data Warehouse, History of Data Warehouse, Data Warehouse Components, Operational Database Vs Data Warehouse etc.

  8. WEB10 rows · Last Updated : 21 Feb, 2023. A data warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the …

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