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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231120111901.0 | ||
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| 008 | 141106s2014 ne ob 001 0 eng d | ||
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| 020 | |z 9780124114616 | ||
| 020 | |z 012411461X | ||
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| 050 | 4 | |a HD38.7 |b .S52 2014eb | |
| 072 | 7 | |a BUS |x 082000 |2 bisacsh | |
| 072 | 7 | |a BUS |x 041000 |2 bisacsh | |
| 072 | 7 | |a BUS |x 042000 |2 bisacsh | |
| 072 | 7 | |a BUS |x 085000 |2 bisacsh | |
| 082 | 0 | 4 | |a 658.4/72 |2 23 |
| 100 | 1 | |a Sherman, Rick, |e author. | |
| 245 | 1 | 0 | |a Business intelligence guidebook : |b from data integration to analytics / |c Rick Sherman. |
| 264 | 1 | |a Amsterdam : |b Elsevier, |c [2014] | |
| 264 | 4 | |c �2015 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Front Cover -- Business Intelligence Guidebook -- Copyright -- Contents -- Foreword -- How to Use This Book -- CHAPTER SUMMARIES -- Acknowledgments -- PART I -- CONCEPTS AND CONTEXT -- CHAPTER 1 -- THE BUSINESS DEMAND FOR DATA, INFORMATION, AND ANALYTICS -- JUST ONE WORD: DATA -- WELCOME TO THE DATA DELUGE -- TAMING THE ANALYTICS DELUGE -- TOO MUCH DATA, TOO LITTLE INFORMATION -- DATA CAPTURE VERSUS INFORMATION ANALYSIS -- THE FIVE CS OF DATA -- COMMON TERMINOLOGY FROM OUR PERSPECTIVE -- REFERENCES -- PART II -- BUSINESS AND TECHNICAL NEEDS | |
| 505 | 8 | |a ""CHAPTER 2 -- JUSTIFYING BI: BUILDING THE BUSINESS AND TECHNICAL CASE""""WHY JUSTIFICATION IS NEEDED""; ""BUILDING THE BUSINESS CASE""; ""BUILDING THE TECHNICAL CASE""; ""ASSESSING READINESS""; ""CREATING A BI ROAD MAP""; ""DEVELOPING SCOPE, PRELIMINARY PLAN, AND BUDGET""; ""OBTAINING APPROVAL""; ""COMMON JUSTIFICATION PITFALLS""; ""CHAPTER 3 -- DEFINING REQUIREMENTS�a�?BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS"" | |
| 505 | 8 | |a Part iii -- architecturalframeworkchapter 4 -- architecture framework -- the need for architectural blueprints -- architectural framework -- information architecture -- data architecture -- technical architecture -- product architecture -- metadata -- security and privacy -- avoiding accidents with architectural planning -- do not obsess over the architecture -- chapter 5 -- information architecture -- the purpose of an information architecture -- data integration framework -- dif information architecture -- operational bi versus analytical bi | |
| 505 | 8 | |a ""MASTER DATA MANAGEMENT""""CHAPTER 6 -- DATA ARCHITECTURE""; ""THE PURPOSE OF A DATA ARCHITECTURE""; ""HISTORY""; ""DATA ARCHITECTURAL CHOICES""; ""DATA INTEGRATION WORKFLOW""; ""DATA WORKFLOW�a�?RISE OF EDW AGAIN""; ""OPERATIONAL DATA STORE""; ""REFERENCES""; ""CHAPTER 7 -- TECHNOLOGY & PRODUCT ARCHITECTURES""; ""WHERE ARE THE PRODUCT AND VENDOR NAMES?""; ""EVOLUTION NOT REVOLUTION""; ""TECHNOLOGY ARCHITECTURE""; ""PRODUCT AND TECHNOLOGY EVALUATIONS""; ""PART IV -- DATA DESIGN""; ""CHAPTER 8 -- FOUNDATIONAL DATA MODELING""; ""THE PURPOSE OF DATA MODELING"" | |
| 505 | 8 | |a ""DEFINITIONS�a�?THE DIFFERENCE BETWEEN A DATA MODEL AND DATA MODELING""""THREE LEVELS OF DATA MODELS""; ""DATA MODELING WORKFLOW""; ""WHERE DATA MODELS ARE USED""; ""ENTITY-RELATIONSHIP (ER) MODELING OVERVIEW""; ""NORMALIZATION""; ""LIMITS AND PURPOSE OF NORMALIZATION""; ""CHAPTER 9 -- DIMENSIONAL MODELING""; ""INTRODUCTION TO DIMENSIONAL MODELING""; ""HIGH-LEVEL VIEW OF A DIMENSIONAL MODEL""; ""FACTS""; ""DIMENSIONS""; ""SCHEMAS""; ""ENTITY RELATIONSHIP VERSUS DIMENSIONAL MODELING""; ""PURPOSE OF DIMENSIONAL MODELING""; ""FACT TABLES""; ""ACHIEVING CONSISTENCY"" | |
| 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. | ||
| 650 | 0 | |a Business intelligence. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Business intelligence |2 fast |0 (OCoLC)fst00842723 | |
| 776 | 0 | 8 | |i Print version: |a Sherman, Rick. |t Business intelligence guidebook |z 9780124114616 |w (DLC) 2014031205 |w (OCoLC)892514304 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780124114616 |z Texto completo |