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100%: Martin Kleppmann: Designing Data-Intensive Applications (ISBN: 9781491903100) 2017, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Martin Kleppmann: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (ISBN: 9781491903070) 2017, O'Reilly Media, Erstausgabe, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
96%: Fremdsprachige Englische: Designing Data-Intensive Applications - The Big Ideas Behind Reliable, Scalable, and Maintainable Systems - 9781449373320 (ISBN: 9781449373320) 2017, Erstausgabe, in Englisch.Nur diese Ausgabe anzeigen…
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Bester Preis: € 19,96 (vom 20.07.2017)1
Designing Data-Intensive Applications
~EN PB NWISBN: 9781449373320 bzw. 1449373321, vermutlich in Englisch, O'Reilly Media, Taschenbuch, neu.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architecture.
2
Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable Systems
EN NWISBN: 9781449373320 bzw. 1449373321, in Englisch, O'Reilly Media, neu.
Lieferung aus: Kanada, In Stock, plus shipping.
Martin Kleppmann, Books, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable Systems, Data is at the center of many great challenges in system design. There are so many tools to choose from: databases, NoSQL datastores, stream and batch processors, caches, indexes, message brokers, and so on. Moreover, there are so many issues to consider: scalability, consistency, reliability, efficiency, maintainability. How do you make the right choices for your application? How do you make sense of all the buzzwords?Designing Data-Intensive Applicationsis a comprehensive guide to the landscape of systems for storing and processing data. In this book, Martin Kleppmann covers a wide range of popular technologies, comparing their pros and cons. Although software keeps changing, the fundamental ideas behind it stay the same. Through this book, you’ll understand those principles, how they apply in practice, and how make full use of data in your applications.With this book, you will:Look under the hood of the systems you already use, so that you can use them more effectively and diagnose any issuesKnow the strengths and weaknesses of different tools, letting you make informed decisionsLearn to navigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their experience.
Martin Kleppmann, Books, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable Systems, Data is at the center of many great challenges in system design. There are so many tools to choose from: databases, NoSQL datastores, stream and batch processors, caches, indexes, message brokers, and so on. Moreover, there are so many issues to consider: scalability, consistency, reliability, efficiency, maintainability. How do you make the right choices for your application? How do you make sense of all the buzzwords?Designing Data-Intensive Applicationsis a comprehensive guide to the landscape of systems for storing and processing data. In this book, Martin Kleppmann covers a wide range of popular technologies, comparing their pros and cons. Although software keeps changing, the fundamental ideas behind it stay the same. Through this book, you’ll understand those principles, how they apply in practice, and how make full use of data in your applications.With this book, you will:Look under the hood of the systems you already use, so that you can use them more effectively and diagnose any issuesKnow the strengths and weaknesses of different tools, letting you make informed decisionsLearn to navigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their experience.
3
Designing Data-Intensive Applications (2017)
EN NW EB DLISBN: 9781491903100 bzw. 1491903104, in Englisch, O'Reilly Media, O'Reilly Media, O'Reilly Media, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, in-stock.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures.
4
Designing Data-Intensive Applications
DE NW EBISBN: 9781491903100 bzw. 1491903104, in Deutsch, O'Reilly Media, neu, E-Book.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures, eBooks.
5
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
EN PB NW FEISBN: 9781449373320 bzw. 1449373321, in Englisch, 614 Seiten, O'Reilly Media, Taschenbuch, neu, Erstausgabe.
從新: $25.41 (32 提供)
從使用: $21.72 (12 提供)
顯示更多 44 提供在 Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, swati21.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures, Paperback, 版: 1, 標籤: O'Reilly Media, O'Reilly Media, 產品組: Book, 出版: 2017-04-02, 工作室: O'Reilly Media, 銷售排名: 7491.
Von Händler/Antiquariat, swati21.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures, Paperback, 版: 1, 標籤: O'Reilly Media, O'Reilly Media, 產品組: Book, 出版: 2017-04-02, 工作室: O'Reilly Media, 銷售排名: 7491.
6
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
EN NW FE EB DLISBN: 9781491903070 bzw. 1491903074, in Englisch, 614 Seiten, O'Reilly Media, neu, Erstausgabe, E-Book, elektronischer Download.
Lieferung aus: Kanada, 電子書下載, 免費送貨。.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures, Kindle Edition, 版: 1, 格式: Kindle eBook, 標籤: O'Reilly Media, O'Reilly Media, 產品組: eBooks, 出版: 2017-03-16, 發佈日期: 2017-03-16, 工作室: O'Reilly Media, 銷售排名: 12547.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures, Kindle Edition, 版: 1, 格式: Kindle eBook, 標籤: O'Reilly Media, O'Reilly Media, 產品組: eBooks, 出版: 2017-03-16, 發佈日期: 2017-03-16, 工作室: O'Reilly Media, 銷售排名: 12547.
7
Designing Data-Intensive Applications
EN HC NWISBN: 9781449373320 bzw. 1449373321, in Englisch, O´Reilly UK Ltd. gebundenes Buch, neu.
Lieferung aus: Deutschland, plus shipping.
This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Lieferzeit 1-2 Werktage.
This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Lieferzeit 1-2 Werktage.
8
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
EN PB NWISBN: 9781449373320 bzw. 1449373321, in Englisch, Simon & Schuster Ltd, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
EN NW EBISBN: 9781491903100 bzw. 1491903104, in Englisch, O'Reilly Media, Incorporated, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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