文件名称:
Big.Data.Principles.and.best.practices.of.scalable.realtime.data.systems.161
开发工具:
文件大小: 6mb
下载次数: 0
上传时间: 2016-04-15
详细说明： 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 About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents Chapter 1: A new paradigm for Big Data Part 1: Batch layer Chapter 2: Data model for Big Data Chapter 3: Data model for Big Data: Illustration Chapter 4: Data storage on the batch layer Chapter 5: Data storage on the batch layer: Illustration Chapter 6: Batch layer Chapter 7: Batch layer: Illustration Chapter 8: An example batch layer: Architecture and algorithms Chapter 9: An example batch layer: Implementation Part 2: Serving layer Chapter 10: Serving layer Chapter 11: Serving layer: Illustration Part 3: Speed layer Chapter 12: Realtime views Chapter 13: Realtime views: Illustration Chapter 14: Queuing and stream processing Chapter 15: Queuing and stream processing: Illustration Chapter 16: Micro-batch stream processing Chapter 17: Micro-batch stream processing: Illustration Chapter 18: Lambda Architecture in depth ...展开收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
