Data warehousing
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A data warehouse is an organized collection of integrated subject-oriented databases designed to aid decision support. It supports business reporting and data mining by providing a consolidated view of cleaned and organized corporate data. Key considerations in data warehouse design include being subject oriented, integrated, time-variant, nonvolatile, summarized, not normalized, including metadata, and being near real-time or tight-time. Data is loaded into the warehouse through extraction, transformation, and loading processes from sources like operational data, specialized applications, and external syndicated data.
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Data warehousing
- 1. Nandini Patil Assistant Professor Godutai Engg. College,kalaburagi Data Warehousing
- 2. Introduction Data warehouse is an organized collection of intergrated, subject-oriented databases designed to aid decision support function. DW supports business reporting & data mining activities. DW enables a consolidated view of corporate data, all cleaned & organized.
- 3. Design considerations for DW Subject oriented Integrated Time-variant Nonvolatile Summarized Not normalized Metadata Near Real-time and /or Tight-time
- 6. Data Sources Operational data Specialized applications External syndicated data
- 7. Data loading processes Data is loaded in DW with ETL process Extraction Transformation Loading
- 9. DW access OLAP Dashboarding system Ad-hoc queries Data mining