Data warehouse pdf

  • Data warehouse tools

    ETL stands for Extract, Transform, and Load.
    It is a process used to collect data from various sources, clean and integrate it, and then load it into a target system for further analysis and reporting..

A data warehouse is a repository (data & metadata) that contains integrated, cleansed, and reconciled data from disparate sources for decision support 

What is a data warehouse?

It is designed for query and analysis rather than for transaction processing, and usually contains historical data derived from transaction data, but can include data from other sources

Data warehouses separate analysis workload from transaction workload and enable an organization to consolidate data from several sources

What is the difference between operational data and data warehousing?

Operational Data: Data used in day-to-day needs of company

Informational Data: Supports other functions such as planning and forecasting

Data mining tools often access data warehouses rather than operational data

Data warehousing: The process of constructing and using data warehouses

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Data Warehouse—Subject-Oriented


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