Business intelligence guidebook: from data integration to analytics
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled - projects flounder, are late and go over budget...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Saint Louis [u.a.]
Elsevier Science
[2015]
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| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-188 DE-2070s Volltext |
| Zusammenfassung: | Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled - projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget - turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources |
| Beschreibung: | 1 Online-Ressource (901 Seiten) Illustrationen, Diagramme |
| ISBN: | 9780124115286 9780124114616 |
| DOI: | 10.1016/C2012-0-06937-2 |
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| 520 | |a Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled - projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget - turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources | ||
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| id | DE-604.BV043613390 |
| illustrated | Illustrated |
| indexdate | 2024-11-29T17:00:17Z |
| institution | BVB |
| isbn | 9780124115286 9780124114616 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029027449 |
| oclc_num | 894555128 |
| open_access_boolean | |
| owner | DE-1046 DE-188 DE-2070s |
| owner_facet | DE-1046 DE-188 DE-2070s |
| physical | 1 Online-Ressource (901 Seiten) Illustrationen, Diagramme |
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| publishDate | 2015 |
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| publisher | Elsevier Science |
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| spelling | Sherman, Rick Verfasser (DE-588)1068547936 aut Business intelligence guidebook from data integration to analytics Saint Louis [u.a.] Elsevier Science [2015] © 2015 1 Online-Ressource (901 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled - projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget - turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources Business intelligence Business Intelligence (DE-588)4588307-5 gnd rswk-swf Business Intelligence (DE-588)4588307-5 s DE-604 Erscheint auch als Druck-Ausgabe Sherman, Rick Business Intelligence Guidebook : From Data Integration to Analytics https://doi.org/10.1016/C2012-0-06937-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Sherman, Rick Business intelligence guidebook from data integration to analytics Business intelligence Business Intelligence (DE-588)4588307-5 gnd |
| subject_GND | (DE-588)4588307-5 |
| title | Business intelligence guidebook from data integration to analytics |
| title_auth | Business intelligence guidebook from data integration to analytics |
| title_exact_search | Business intelligence guidebook from data integration to analytics |
| title_full | Business intelligence guidebook from data integration to analytics |
| title_fullStr | Business intelligence guidebook from data integration to analytics |
| title_full_unstemmed | Business intelligence guidebook from data integration to analytics |
| title_short | Business intelligence guidebook |
| title_sort | business intelligence guidebook from data integration to analytics |
| title_sub | from data integration to analytics |
| topic | Business intelligence Business Intelligence (DE-588)4588307-5 gnd |
| topic_facet | Business intelligence Business Intelligence |
| url | https://doi.org/10.1016/C2012-0-06937-2 |
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