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Biblioteca

MARC Lista (tabellare)
Advanced analytics with Transact-SQL : exploring hidden patterns and rules in your data / / Dejan Sarka
Advanced analytics with Transact-SQL : exploring hidden patterns and rules in your data / / Dejan Sarka
Autore Sarka Dejan
Pubbl/distr/stampa [Place of publication not identified] : , : Apress, , [2021]
Descrizione fisica 1 online resource (308 pages)
Disciplina 005.7
Soggetto topico Big data
Business intelligence - Data processing
SQL (Computer program language)
ISBN 1-4842-7173-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910495206103321
Sarka Dejan  
[Place of publication not identified] : , : Apress, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agile data warehousing project management [[electronic resource] ] : business intelligence systems using Scrum / / Ralph Hughes
Agile data warehousing project management [[electronic resource] ] : business intelligence systems using Scrum / / Ralph Hughes
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
Hughes Ralph <1959->  
Waltham, MA, : Morgan Kaufmann, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agile data warehousing project management [[electronic resource] ] : business intelligence systems using Scrum / / Ralph Hughes
Agile data warehousing project management [[electronic resource] ] : business intelligence systems using Scrum / / Ralph Hughes
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-9910825750903321
Hughes Ralph <1959->  
Waltham, MA, : Morgan Kaufmann, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agile data warehousing project management [[electronic resource] ] : business intelligence systems using Scrum / / Ralph Hughes
Agile data warehousing project management [[electronic resource] ] : business intelligence systems using Scrum / / Ralph Hughes
Autore Hughes Ralph <1959->
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier / MK, 2012
Descrizione fisica 1 online resource (379 p.)
Disciplina 005.74/5
Soggetto topico Agile software development
Business intelligence - Data processing
Data warehousing
Project management
Soggetto genere / forma Electronic books.
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-9910462367503321
Hughes Ralph <1959->  
Amsterdam ; ; Boston, : Elsevier / MK, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analytics : the agile way / / Phil Simon
Analytics : the agile way / / Phil Simon
Autore Simon Phil
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, , [2017]
Descrizione fisica 1 recurso en línea (303 páginas) : ilustraciones
Disciplina 658.4/033
Collana Wiley & SAS business series
THEi Wiley ebooks
Soggetto topico Business intelligence - Data processing
Decision making
ISBN 1-119-42420-8
1-119-42419-4
1-119-42421-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910271007903321
Simon Phil  
Hoboken, New Jersey : , : John Wiley & Sons, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analytics : the agile way / / Phil Simon
Analytics : the agile way / / Phil Simon
Autore Simon Phil
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, , [2017]
Descrizione fisica 1 recurso en línea (303 páginas) : ilustraciones
Disciplina 658.4/033
Collana Wiley & SAS business series
THEi Wiley ebooks
Soggetto topico Business intelligence - Data processing
Decision making
ISBN 1-119-42420-8
1-119-42419-4
1-119-42421-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910818330903321
Simon Phil  
Hoboken, New Jersey : , : John Wiley & Sons, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data MBA : driving business strategies with data science / / Bill Schmarzo
Big data MBA : driving business strategies with data science / / Bill Schmarzo
Autore Schmarzo Bill
Pubbl/distr/stampa Indianapolis, Indiana : , : Wiley, , 2016
Descrizione fisica 1 online resource (275 p.)
Disciplina 658.4038
Soggetto topico Business intelligence - Data processing
Big data
Business planning - Statistical methods
Data mining
ISBN 1-119-23884-6
1-119-23888-9
1-119-18138-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Business potential of big data. The big data business mandate -- Big data business model maturity index -- The big data strategy document -- The importance of the user experience -- Data science. Differences between business intelligence and data science -- Data science 101 -- The data lake -- Data science for business stakeholders. Thinking like a data scientist -- "By" analysis technique -- Score development technique -- Monetization exercise -- Metamorphosis exercise -- Building cross-organizational support -- Power of envisioning -- Organizational ramifications -- Stories.
Record Nr. UNINA-9910137168103321
Schmarzo Bill  
Indianapolis, Indiana : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data MBA : driving business strategies with data science / / Bill Schmarzo
Big data MBA : driving business strategies with data science / / Bill Schmarzo
Autore Schmarzo Bill
Pubbl/distr/stampa Indianapolis, Indiana : , : Wiley, , 2016
Descrizione fisica 1 online resource (275 p.)
Disciplina 658.4038
Soggetto topico Business intelligence - Data processing
Big data
Business planning - Statistical methods
Data mining
ISBN 1-119-23884-6
1-119-23888-9
1-119-18138-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Business potential of big data. The big data business mandate -- Big data business model maturity index -- The big data strategy document -- The importance of the user experience -- Data science. Differences between business intelligence and data science -- Data science 101 -- The data lake -- Data science for business stakeholders. Thinking like a data scientist -- "By" analysis technique -- Score development technique -- Monetization exercise -- Metamorphosis exercise -- Building cross-organizational support -- Power of envisioning -- Organizational ramifications -- Stories.
Record Nr. UNINA-9910812816603321
Schmarzo Bill  
Indianapolis, Indiana : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business intelligence : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings / / Mohamed Fakir, Mohamed Baslam, and Rachid El Ayachi
Business intelligence : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings / / Mohamed Fakir, Mohamed Baslam, and Rachid El Ayachi
Autore Fakir Mohamed
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (301 pages)
Disciplina 658.472
Collana Lecture Notes in Business Information Processing
Soggetto topico Business intelligence
Business intelligence - Data processing
ISBN 3-031-06458-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996475765503316
Fakir Mohamed  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Business intelligence : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings / / Mohamed Fakir, Mohamed Baslam, and Rachid El Ayachi
Business intelligence : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings / / Mohamed Fakir, Mohamed Baslam, and Rachid El Ayachi
Autore Fakir Mohamed
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (301 pages)
Disciplina 658.472
Collana Lecture Notes in Business Information Processing
Soggetto topico Business intelligence
Business intelligence - Data processing
ISBN 3-031-06458-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910568289703321
Fakir Mohamed  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui