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Nathan Marz, James Warren - Big Data: Principles and best practices of scalable realtime data systems [2015, PDF/EPUB, ENG]

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Big Data: Principles and best practices of scalable realtime data systems
Год издания: 2015
Автор: Nathan Marz, James Warren
Издательство: Manning Publications
ISBN: 978-1617290343
Язык: Английский
Формат: PDF/EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 328
Описание: Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.
Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.
This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.
What's Inside
- Introduction to big data systems
- Real-time processing of web-scale data
- Tools like Hadoop, Cassandra, and Storm
- Extensions to traditional database skills

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Оглавление

brief contents
1 ■ A new paradigm for Big Data 1
PART 1 BATCH LAYER.................................................................25
2 ■ Data model for Big Data 27
3 ■ Data model for Big Data: Illustration 47
4 ■ Data storage on the batch layer 54
5 ■ Data storage on the batch layer: Illustration 65
6 ■ Batch layer 83
7 ■ Batch layer: Illustration 111
8 ■ An example batch layer: Architecture and algorithms 139
9 ■ An example batch layer: Implementation 156
PART 2 SERVING LAYER . ...........................................................177
10 ■ Serving layer 179
11 ■ Serving layer: Illustration 196
PART 3 SPEED LAYER ................................................................205
12 ■ Realtime views 207
13 ■ Realtime views: Illustration 220
14 ■ Queuing and stream processing 225
15 ■ Queuing and stream processing: Illustration 242
16 ■ Micro-batch stream processing 254
17 ■ Micro-batch stream processing: Illustration 269
18 ■ Lambda Architecture in depth 284
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