Data warehousing in the age of big data
"In conclusion as you come to the end of this book, the concept of a Data Warehouse and its primary goal of serving the enterprise version of truth, and being the single platform for all the source of information will continue to remain intact and valid for many years to come. As we have discussed a...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Amsterdam :
Morgan Kaufmann,
2013.
|
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Ngā tūemi rite: Data warehousing in the age of big data
- The data warehouse lifecycle toolkit
- Agile data warehousing project management business intelligence systems using Scrum /
- Data model patterns a metadata map /
- Principles of big data preparing, sharing, and analyzing complex information /
- Implementing Tivoli Data Warehouse 1.2
- Tivoli Data Warehouse version 1.3 planning and implementation /