文件名称：Learning Storm
文件大小：2.73MB
文件格式：PDF
更新时间：2018-05-23 14:23:19
Learning Storm
Learning Storm 英文版 Real-time data processing is no longer a luxury exercised by a few big companies but has become a necessity for businesses that want to compete, and Apache Storm is becoming the de facto standard to develop real-time processing pipelines. The key features of Storm are that it is horizontally scalable, fault-tolerant, and provides guaranteed message processing. Storm can solve various types of analytical problems, such as machine learning, log processing, and graph analysis. Learning Storm will serve both as a getting-started guide for inexperienced developers and as a reference to implement advanced use cases with Storm for experienced developers. In the first two chapters, you will learn the basics of a Storm topology and various components of a Storm cluster. In the later chapters, you will learn how to build a Storm application that can interact with various other Big Data technologies and how to create transactional topologies. Finally, the last two chapters cover case studies for log processing and machine learning.