Business Intelligence & Data Warehousing Simplified: 500 Questions, Answers, & Tips
This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics inclu...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Herndon
Mercury Learning and Information
[2011]
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Schlagworte: | |
Online-Zugang: | FAW01 FAB01 FCO01 FHA01 FKE01 FLA01 UPA01 Volltext |
Zusammenfassung: | This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, etc. The book can also be used as a supplemental textbook, for various data warehousing/business intelligence courses |
Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
Beschreibung: | 1 Online-Ressource (250 Seiten) |
ISBN: | 9781936420872 |
DOI: | 10.1515/9781936420872 |
Internformat
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520 | |a This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, etc. The book can also be used as a supplemental textbook, for various data warehousing/business intelligence courses | ||
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Datensatz im Suchindex
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dewey-full | 658.4/72 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.4/72 |
dewey-search | 658.4/72 |
dewey-sort | 3658.4 272 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1515/9781936420872 |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T23:32:02Z |
indexdate | 2024-07-10T10:11:15Z |
institution | BVB |
isbn | 9781936420872 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034925739 |
oclc_num | 808089015 |
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physical | 1 Online-Ressource (250 Seiten) |
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publishDate | 2011 |
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publisher | Mercury Learning and Information |
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spelling | Khan, Arshad Verfasser aut Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips Arshad Khan Herndon Mercury Learning and Information [2011] © 2011 1 Online-Ressource (250 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, etc. The book can also be used as a supplemental textbook, for various data warehousing/business intelligence courses In English Data COMPUTERS / Database Management / Data Mining bisacsh Business enterprises Decision making Business intelligence Data warehousing Decision making Data processing Erscheint auch als Druck-Ausgabe 9781936420322 https://doi.org/10.1515/9781936420872?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Khan, Arshad Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips Data COMPUTERS / Database Management / Data Mining bisacsh Business enterprises Decision making Business intelligence Data warehousing Decision making Data processing |
title | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips |
title_auth | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips |
title_exact_search | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips |
title_exact_search_txtP | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips |
title_full | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips Arshad Khan |
title_fullStr | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips Arshad Khan |
title_full_unstemmed | Business Intelligence & Data Warehousing Simplified 500 Questions, Answers, & Tips Arshad Khan |
title_short | Business Intelligence & Data Warehousing Simplified |
title_sort | business intelligence data warehousing simplified 500 questions answers tips |
title_sub | 500 Questions, Answers, & Tips |
topic | Data COMPUTERS / Database Management / Data Mining bisacsh Business enterprises Decision making Business intelligence Data warehousing Decision making Data processing |
topic_facet | Data COMPUTERS / Database Management / Data Mining Business enterprises Decision making Business intelligence Data warehousing Decision making Data processing |
url | https://doi.org/10.1515/9781936420872?locatt=mode:legacy |
work_keys_str_mv | AT khanarshad businessintelligencedatawarehousingsimplified500questionsanswerstips |