9781484227213 - usage-driven database design: from logical data modeling through physical schema definition von tillmann, george (30 Ergebnisse)
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Zustand: New. Tagline: Taming NoSQL and relational schemas Num Pages: biography. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2017. 1st ed. paperback. . . . .
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Paperback. Zustand: new. Paperback. Design great databasesfrom logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems.Key to the f…ramework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesnt work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.Presents an end-to-end framework from logical data modeling through physical schema definition.Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL ServerWhat You'll LearnCreate logical data models that accurately reflect the real world of the userCreate usage scenarios reflecting how applications will use a new databaseMerge static data models with dynamic process models to create resilient yet flexible database designsSupport application requirements by creating responsive database schemas in any database architectureCope with big data and unstructured data for transaction processing and decision support systemsRecognize when relational approaches wont work, and when to turn toward NoSQL solutions such as Cassandra or HadoopWho This Book Is ForSystem developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems Tagline: Taming NoSQL and relational schemas Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 400 | Sprache: Englisch | Produktart: Bücher | Design great databases¿from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accoun…ts for how data is actually used in production systems.Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn¿t work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.Presents an end-to-end framework from logical data modeling through physical schema definition.Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL ServerWhat You'll LearnCreate logical data models that accurately reflect the real world of the userCreate usage scenarios reflecting how applications will use a new databaseMerge static data models with dynamic process models to create resilient yet flexible database designsSupport application requirements by creating responsive database schemas in any database architectureCope with big data and unstructured data for transaction processing and decision support systemsRecognize when relational approaches won¿t work, and when to turn toward NoSQL solutions such as Cassandra or HadoopWho This Book Is ForSystem developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems.
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Taschenbuch. Zustand: Neu. Usage-Driven Database Design | From Logical Data Modeling through Physical Schema Definition | George Tillmann | Taschenbuch | xxiv | Englisch | 2017 | Apress | EAN 9781484227213 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juerge…n[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Zustand: new. Paperback. Design great databasesfrom logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems.Key to the f…ramework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesnt work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.Presents an end-to-end framework from logical data modeling through physical schema definition.Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL ServerWhat You'll LearnCreate logical data models that accurately reflect the real world of the userCreate usage scenarios reflecting how applications will use a new databaseMerge static data models with dynamic process models to create resilient yet flexible database designsSupport application requirements by creating responsive database schemas in any database architectureCope with big data and unstructured data for transaction processing and decision support systemsRecognize when relational approaches wont work, and when to turn toward NoSQL solutions such as Cassandra or HadoopWho This Book Is ForSystem developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems Tagline: Taming NoSQL and relational schemas Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Design great databases-from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for… how data is actually used in production systems.Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models.The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn't work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.Presents an end-to-end framework from logical data modeling through physical schema definition.Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL ServerWhat You'll LearnCreate logical data models that accurately reflect the real world of the userCreate usage scenarios reflecting how applications will use a new databaseMerge static data models with dynamic process models to create resilient yet flexible database designsSupport application requirements by creating responsive database schemas in any database architectureCope with big data and unstructured data for transaction processing and decision support systemsRecognize when relational approaches won't work, and when to turn toward NoSQL solutions such as Cassandra or HadoopWho This Book Is ForSystem developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems 400 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tagline: Taming NoSQL and relational schemas|Presents a complete framework for database design successEmphasizes the practical aspects of database design theoryProvides tips and techniques from decades of experience.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -How do you design good databases This book breaks new ground by presenting a way of developing databases, from start to finish, where the start is logical data modeling and the finish is a database schema that reflects not only the defini…tion of the data uncovered in logical data modeling, but also how the database will be used by applications and end users. The usage-driven design framework in this book provides guidance on mapping from logical to physical designs while simultaneously incorporating knowledge of the target business processes. The framework is practical, pragmatic, and proven over the author's many years of experience.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Design great databases-from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how…data is actually used in production systems.Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models.The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn't work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.Presents an end-to-end framework from logical data modeling through physical schema definition.Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL ServerWhat You'll LearnCreate logical data models that accurately reflect the real world of the userCreate usage scenarios reflecting how applications will use a new databaseMerge static data models with dynamic process models to create resilient yet flexible database designsSupport application requirements by creating responsive database schemas in any database architectureCope with big data and unstructured data for transaction processing and decision support systemsRecognize when relational approaches won't work, and when to turn toward NoSQL solutions such as Cassandra or HadoopWho This Book Is ForSystem developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems.
