Designing Data Intensive Applications

Designing Data Intensive Applications by Martin Kleppmann. Download in PDF, EPUB, and Mobi Format for read it on your Kindle device, PC, phones or tablets. Designing Data Intensive Applications books. Click Download for free ebooks.

Designing Data Intensive Applications

Wit and Mirth  Or  Pills to Purge Melancholy
Author: Martin Kleppmann
Publisher: "O'Reilly Media, Inc."
ISBN: 1491903112
Size: 73.65 MB
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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 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 architectures
Designing Data-Intensive Applications
Language: en
Pages: 616
Authors: Martin Kleppmann
Categories: Computers
Type: BOOK - Published: 2017-03-16 - Publisher: "O'Reilly Media, Inc."
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
Morgan Kaufmann series in data management systems
Language: en
Pages: 562
Authors: Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, Maristella Matera
Categories: Computers
Type: BOOK - Published: 2003 - Publisher: Morgan Kaufmann
Technologies for web applications -- Data model -- Hypertext model -- Content management model -- Advanced hypertext model -- Overview of the development process -- Requirements specifications -- Data design -- Hypertext design -- Architecture design -- Data implementation -- Hypertext implementation -- Advanced hypertext implementation -- Tools for model-based
Exam Prep for: Designing Data-intensive Applications
Language: en
Pages:
Authors: Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, Maristella Matera
Categories: Computers
Type: - Published: - Publisher:
Books about Exam Prep for: Designing Data-intensive Applications
Architecting Data-Intensive Applications
Language: en
Pages: 340
Authors: Anuj Kumar
Categories: Computers
Type: BOOK - Published: 2018-07-31 - Publisher: Packt Publishing Ltd
Architect and design data-intensive applications and, in the process, learn how to collect, process, store, govern, and expose data for a variety of use cases Key Features Integrate the data-intensive approach into your application architecture Create a robust application layout with effective messaging and data querying architecture Enable smooth data
Культура й імперіялізм
Language: uk
Pages: 605
Authors: Anuj Kumar
Categories: European literature
Type: BOOK - Published: 2007 - Publisher: Taras Tsymbal
Books about Культура й імперіялізм
Data-Intensive Computing
Language: en
Pages: 290
Authors: Ian Gorton, Deborah K. Gracio
Categories: Computers
Type: BOOK - Published: 2012-10-29 - Publisher: Cambridge University Press
Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today.
Handbook of Data Intensive Computing
Language: en
Pages: 794
Authors: Borko Furht, Armando Escalante
Categories: Computers
Type: BOOK - Published: 2011-12-10 - Publisher: Springer Science & Business Media
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge.
About Face
Language: en
Pages: 720
Authors: Alan Cooper, Robert Reimann, David Cronin, Christopher Noessel
Categories: Computers
Type: BOOK - Published: 2014-08-13 - Publisher: John Wiley & Sons
The essential interaction design guide, fully revised andupdated for the mobile age About Face: The Essentials of Interaction Design, FourthEdition is the latest update to the book that shaped andevolved the landscape of interaction design. This comprehensiveguide takes the worldwide shift to smartphones and tablets intoaccount. New information includes discussions
Diagnostic Applications of Health Intelligence and Surveillance Systems
Language: en
Pages: 332
Authors: Yadav, Divakar, Bansal, Abhay, Bhatia, Madhulika, Hooda, Madhurima, Morato, Jorge
Categories: Medical
Type: BOOK - Published: 2021-01-15 - Publisher: IGI Global
Health surveillance and intelligence play an important role in modern health systems as more data must be collected and analyzed. It is crucial that this data is interpreted and analyzed effectively and efficiently in order to assist with diagnoses and predictions. Diagnostic Applications of Health Intelligence and Surveillance Systems is
Computational Methods for Data Analysis
Language: en
Pages: 395
Authors: Yeliz Karaca, Carlo Cattani
Categories: Mathematics
Type: BOOK - Published: 2018-12-17 - Publisher: Walter de Gruyter GmbH & Co KG
This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life