Autore	Hughes Ralph <1959->
Edizione	[1st ed.]
Pubbl/distr/stampa	Waltham, MA, : Morgan Kaufmann, 2013
Descrizione fisica	1 online resource (379 p.)
Disciplina	005.74/5
Soggetto topico	Agile software development Business intelligence - Data processing Data warehousing Project management
ISBN	1-283-60983-5 9786613922281 0-12-396517-9
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front Cover; Agile Data Warehousing Project Management; Copyright Page; Contents; List of Figures; List of Tables; Preface; Answering the skeptics; Intended audience; Parts and chapters of the book; Invitation to join the agile warehousing community; Author's Bio; 1: An Introduction to Iterative Development; 1 What Is Agile Data Warehousing?; A quick peek at an agile method; The "disappointment cycle" of many traditional projects; The waterfall method was, in fact, a mistake; Agile's iterative and incremental delivery alternative; Agile as an answer to waterfall's problems Increments of small scopeBusiness centric; Colocation; Self-organized teams; Just in time; 80-20 Specifications; Fail fast and fix quickly; Integrated quality assurance; Agile methods provide better results; Agile for data warehousing; Data warehousing entails a "breadth of complexity"; Adapted scrum handles the breadth of data warehousing well; Managing data warehousing's "depth of complexity"; Guide to this book and other materials; Simplified treatment of data architecture for book 1; Companion web site; Where to be cautious with agile data warehousing; Summary 2 Iterative Development in a NutshellStarter concepts; Three nested cycles; The release cycle; Development and daily cycles; Shippable code and the definition of done; Time-boxed development; Caves and commons; Product owners and scrum masters; Product owner; Scrum master; Developers as "generalizing specialists"; Improved role for the project manager; Might a project manager serve as a scrum master?; User stories and backlogs; Estimating user stories in story points; Iteration phase 1: story conferences; Iteration phase 2: task planning Basis of estimate cards to escape repeating hard thinkingTask planning doublechecks story planning; Iteration phase 3: development phase; Self-organization; Daily scrums; Accelerated programming; Test-driven development; Architectural compliance and "tech debt"; Iteration phase 4: user demo; Iteration phase 5: sprint retrospectives; Retrospectives are vital; Close collaboration is essential; Selecting the optimal iteration length; Nonstandard sprints; Sprint 0; Architectural sprints; Implementation sprints; "Spikes"; "Hardening" sprints; Where did scrum come from?; Distant history Scrum emergesSummary; 3 Streamlining Project Management; Highly transparent task boards; Task boards amplify project quality; Task boards naturally integrate team efforts; Scrum masters must monitor the task board; Burndown charts reveal the team aggregate progress; Detecting trouble with burndown charts; Developers are not the burndown chart's victims; Calculating velocity from burndown charts; Common variations on burndown charts; Setting capacity when the team delivers early; Managing tech debt; Managing miditeration scope creep; Diagnosing problems with burndown chart patterns An early hill to climb
Record Nr.	UNINA-9910785504103321

Autore	Lans Rick F. van der
Edizione	[1st edition]
Pubbl/distr/stampa	Amsterdam ; ; Boston, : Elsevier/MK, c2012
Descrizione fisica	1 online resource (296 p.)
Disciplina	005.74/5
Collana	The Morgan Kaufmann Series on Business Intelligence
Soggetto topico	Business intelligence Data warehousing Management information systems Virtual computer systems
Soggetto genere / forma	Electronic books.
ISBN	1-281-60428-3 9786613784971 0-12-397817-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front Cover; Data Virtualization for Business Intelligence Systems; Copyright Page; Contents; Foreword; Preface; Introduction; Who Should Read This Book?; Prerequisite Knowledge; Terms and Definitions; And Finally ...; About the Author; 1 Introduction to Data Virtualization; 1.1 Introduction; 1.2 The World of Business Intelligence Is Changing; 1.3 Introduction to Virtualization; 1.4 What Is Data Virtualization?; 1.5 Data Virtualization and Related Concepts; 1.5.1 Data Virtualization versus Encapsulation and Information Hiding; 1.5.2 Data Virtualization versus Abstraction 1.5.3 Data Virtualization versus Data Federation1.5.4 Data Virtualization versus Data Integration; 1.5.5 Data Virtualization versus Enterprise Information Integration; 1.6 Definition of Data Virtualization; 1.7 Technical Advantages of Data Virtualization; 1.8 Different Implementations of Data Virtualization; 1.9 Overview of Data Virtualization Servers; 1.10 Open versus Closed Data Virtualization Servers; 1.11 Other Forms of Data Integration; 1.12 The Modules of a Data Virtualization Server; 1.13 The History of Data Virtualization; 1.14 The Sample Database: World Class Movies 1.15 Structure of This Book2 Business Intelligence and Data Warehousing; 2.1 Introduction; 2.2 What Is Business Intelligence?; 2.3 Management Levels and Decision Making; 2.4 Business Intelligence Systems; 2.5 The Data Stores of a Business Intelligence System; 2.5.1 The Data Warehouse; 2.5.2 The Data Marts; 2.5.3 The Data Staging Area; 2.5.4 The Operational Data Store; 2.5.5 The Personal Data Stores; 2.5.6 A Comparison of the Different Types of Data Stores; 2.6 Normalized Schemas, Star Schemas, and Snowflake Schemas; 2.6.1 Normalized Schemas; 2.6.2 Denormalized Schemas; 2.6.3 Star Schemas 2.6.4 Snowflake Schemas2.7 Data Transformation with Extract Transform Load, Extract Load Transform, and Replication; 2.7.1 Extract Transform Load; 2.7.2 Extract Load Transform; 2.7.3 Replication; 2.8 Overview of Business Intelligence Architectures; 2.9 New Forms of Reporting and Analytics; 2.9.1 Operational Reporting and Analytics; 2.9.2 Deep and Big Data Analytics; 2.9.3 Self-Service Reporting and Analytics; 2.9.4 Unrestricted Ad-Hoc Analysis; 2.9.5 360-Degree Reporting; 2.9.6 Exploratory Analysis; 2.9.7 Text-Based Analysis; 2.10 Disadvantages of Classic Business Intelligence Systems 2.11 Summary3 Data Virtualization Server: The Building Blocks; 3.1 Introduction; 3.2 The High-Level Architecture of a Data Virtualization Server; 3.3 Importing Source Tables and Defining Wrappers; 3.4 Defining Virtual Tables and Mappings; 3.5 Examples of Virtual Tables and Mappings; 3.6 Virtual Tables and Data Modeling; 3.7 Nesting Virtual Tables and Shared Specifications; 3.8 Importing Nonrelational Data; 3.8.1 XML and JSON Documents; 3.8.2 Web Services; 3.8.3 Spreadsheets; 3.8.4 NoSQL Databases; 3.8.5 Multidimensional Cubes and MDX; 3.8.6 Semistructured Data; 3.8.7 Unstructured Data 3.9 Publishing Virtual Tables
Record Nr.	UNINA-9910462476203321

Edizione	[1st ed. 2011.]
Pubbl/distr/stampa	Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Descrizione fisica	1 online resource (XIV, 498 p. 180 illus.)
Disciplina	005.74/5
Collana	Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico	Computer communication systems Management information systems Computer science Data encryption (Computer science) Computers and civilization Application software Algorithms Computer Communication Networks Management of Computing and Information Systems Cryptology Computers and Society Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity
ISBN	3-642-23544-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNISA-996466064603316

Autore	Ponniah Paulraj
Edizione	[2nd ed.]
Pubbl/distr/stampa	Hoboken, N.J., : John Wiley & Sons, c2010
Descrizione fisica	1 online resource (601 p.)
Disciplina	005.74/5
Altri autori (Persone)	PonniahPaulraj
Soggetto topico	Data warehousing
ISBN	9786612707629 9781118211304 1118211308 9781282707627 1282707620 9780470604137 0470604131 9780470604113 0470604115
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	DATA WAREHOUSING FUNDAMENTALS FOR IT PROFESSIONALS; CONTENTS; PREFACE; PART 1 OVERVIEW AND CONCEPTS; 1 THE COMPELLING NEED FOR DATA WAREHOUSING; 2 DATA WAREHOUSE: THE BUILDING BLOCKS; 3 TRENDS IN DATA WAREHOUSING; PART 2 PLANNING AND REQUIREMENTS; 4 PLANNING AND PROJECT MANAGEMENT; 5 DEFINING THE BUSINESS REQUIREMENTS; 6 REQUIREMENTS AS THE DRIVING FORCE FOR DATA WAREHOUSING; PART 3 ARCHITECTURE AND INFRASTRUCTURE; 7 ARCHITECTURAL COMPONENTS; 8 INFRASTRUCTURE AS THE FOUNDATION FOR DATA WAREHOUSING; 9 THE SIGNIFICANT ROLE OF METADATA; PART 4 DATA DESIGN AND DATA PREPARATION 10 PRINCIPLES OF DIMENSIONAL MODELING11 DIMENSIONAL MODELING: ADVANCED TOPICS; 12 DATA EXTRACTION, TRANSFORMATION, AND LOADING; 13 DATA QUALITY: A KEY TO SUCCESS; PART 5 INFORMATION ACCESS AND DELIVERY; 14 MATCHING INFORMATION TO THE CLASSES OF USERS; 15 OLAP IN THE DATA WAREHOUSE; 16 DATA WAREHOUSING AND THE WEB; 17 DATA MINING BASICS; PART 6 IMPLEMENTATION AND MAINTENANCE; 18 THE PHYSICAL DESIGN PROCESS; 19 DATA WAREHOUSE DEPLOYMENT; 20 GROWTH AND MAINTENANCE; ANSWERS TO SELECTED EXERCISES; APPENDIX A: PROJECT LIFE CYCLE STEPS AND CHECKLISTS; APPENDIX B: CRITICAL FACTORS FOR SUCCESS APPENDIX C: GUIDELINES FOR EVALUATING VENDOR SOLUTIONSAPPENDIX D: HIGHLIGHTS OF VENDORS AND PRODUCTS; APPENDIX E: REAL-WORLD EXAMPLES OF BEST PRACTICES; REFERENCES; GLOSSARY; INDEX
Altri titoli varianti	Data warehousing fundamentals for information technology professionals
Record Nr.	UNINA-9910140833603321

Autore	Krishnan Krish
Edizione	[1st edition]
Pubbl/distr/stampa	Amsterdam, : Morgan Kaufmann, 2013
Descrizione fisica	1 online resource (371 p.)
Disciplina	005.74/5
Collana	The Morgan Kaufmann Series on Business Intelligence
Soggetto topico	Data warehousing Big data
Soggetto genere / forma	Electronic books.
ISBN	0-12-405920-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Machine generated contents note: Part 1 - Big Data Chapter 1 - Introduction to Big Data Chapter 2 - Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies Chapter 5 - Big Data Business Value Part 2 - The Data Warehouse Chapter 6 - Data Warehouse Chapter 7 - Re-Engineering the Data Warehouse Chapter 8 -Workload Management in the Data Warehouse Chapter 9 - New Technology Approaches Part 3 - Extending Big Data into the Data Warehouse Chapter 10 - Integration of Big Data and Data Warehouse Chapter 11 - Data Driven Architecture Chapter 12 - Information Management and Lifecycle Chapter 13 - Big Data Analytics, Visualization and Data Scientist Chapter 14 - Implementing The "Big Data" Data Warehouse Appendix A - Customer Case Studies From Vendors Appendix B - Building The HealthCare Information Factory.
Record Nr.	UNINA-9910458863903321