Apache Flume: Distributed Log Collection for Hadoop (2nd Edition) (Repost)

Design and implement a series of Flume agents to send streamed data into Hadoop If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed. In Detail Apache Flume is a distributed, reliable, and available service used to efficiently collect, aggregate, and move large amounts of log data. It is used to stream logs from application servers to HDFS for ad hoc analysis. This book starts with an architectural overview of Flume and its logical components. It explores channels, sinks, and sink processors, followed by sources and channels. By the end of this book, you will be fully equipped to construct a series of Flume agents to dynamically transport your stream data and logs from your systems into Hadoop. A step-by-step book that guides you through the architecture and components of Flume covering different approaches, which are then pulled together as a real-world, end-to-end use case, gradually going from the simplest to the most advanced features.