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简介
Big Data: Principles and best practices of scalable realtime data systems 豆 8.8分
资源最后更新于 2020-09-26 17:40:01
作者:Nathan Marz
出版社:Manning Publications
出版日期:2015-01
ISBN:9781617290343
文件格式: pdf
标签: bigdata 数据挖掘 大数据 计算机 data manning 编程 Programming
简介· · · · · ·
Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling big data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology. Fortunately, scalability and simplicity are not mutually exclusive—you j...
目录
1. A new paradigm for Big Data - FREE
2. Data model for Big Data - AVAILABLE
3. Data storage on the batch layer
4. MapReduce and batch processing
5. Batch processing with Cascading
6. Basics of the serving layer
7. Storm and the speed layer
8. Incremental batch processing
9. Layered architecture in-depth
10. Piping the system together
11. Future of NoSQL and Big Data processing
Appendix A: Hadoop
Appendix B: Thrift
Appendix C: Storm
2. Data model for Big Data - AVAILABLE
3. Data storage on the batch layer
4. MapReduce and batch processing
5. Batch processing with Cascading
6. Basics of the serving layer
7. Storm and the speed layer
8. Incremental batch processing
9. Layered architecture in-depth
10. Piping the system together
11. Future of NoSQL and Big Data processing
Appendix A: Hadoop
Appendix B: Thrift
Appendix C: Storm