Architecting Data-Intensive Applications: Develop scalable, data-intensive, and robust applications the smart way

bArchitect 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/b h4Key Features/h4 ulliIntegrate the data-intensive approach into your application architecture /li liCreate a robust application layout wi...

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Bibliographische Detailangaben
1. Verfasser: Kumar, Anuj (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham Packt Publishing Limited 2018
Ausgabe:1
Schlagworte:
Zusammenfassung:bArchitect 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/b h4Key Features/h4 ulliIntegrate the data-intensive approach into your application architecture /li liCreate a robust application layout with effective messaging and data querying architecture /li liEnable smooth data flow and make the data of your application intensive and fast /li /ul h4Book Description/h4 Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive, yet ?uent and efficient, behaviour? This book is your gateway to build smart data-intensive systems by incorporating the core data-intensive architectural principles, patterns, and techniques directly into your application architecture. This book starts by taking you through the primary design challenges involved with architecting data-intensive applications.
You will learn how to implement data curation and data dissemination, depending on the volume of your data. You will then implement your application architecture one step at a time. You will get to grips with implementing the correct message delivery protocols and creating a data layer that doesn't fail when running high traffic. This book will show you how you can divide your application into layers, each of which adheres to the single responsibility principle. By the end of this book, you will learn to streamline your thoughts and make the right choice in terms of technologies and architectural principles based on the problem at hand.
h4What you will learn/h4 ulliUnderstand how to envision a data-intensive system/li liIdentify and compare the non-functional requirements of a data collection component/li liUnderstand patterns involving data processing, as well as technologies that help to speed up the development of data processing systems/li liUnderstand how to implement Data Governance policies at design time using various Open Source Tools/li liRecognize the anti-patterns to avoid while designing a data store for applications/li liUnderstand the different data dissemination technologies available to query the data in an efficient manner/li liImplement a simple data governance policy that can be extended using Apache Falcon/li /ul h4Who this book is for/h4 This book is for developers and data architects who have to code, test, deploy, and/or maintain large-scale, high data volume applications.
Beschreibung:1 Online-Ressource (340 Seiten)
ISBN:9781785884207

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