 Название: Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood
Автор: Supun Kamburugamuve, Saliya Ekanayake
Издательство: Wiley
Год: 2021
Страниц: 415
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
Peek “Under The Hood” of Big Data Analytics.
The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance.
The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within.
Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every Big Data processing system.
Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to:
Identify the foundations of large-scale, distributed data processing systems
Make major software design decisions that optimize performance
Diagnose performance problems and distributed operation issues
Understand state-of-the-art research in Big Data
Explain and use the major Big Data frameworks and understand what underpins them
Use Big Data analytics in the real world to solve practical problems
Contents:
Introduction xxvii
Chapter 1 Data Intensive Applications 1
Chapter 2 Data and Storage 35
Chapter 3 Computing Resources 69
Chapter 4 Data Structures 107
Chapter 5 Programming Models 139
Chapter 6 Messaging 187
Chapter 7 Parallel Tasks 229
Chapter 8 Case Studies 271
Chapter 9 Fault Tolerance 303
Chapter 10 Performance and Productivity 329
Index 361
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Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood 
