By Steve Hoffman
About This Book
- Construct a sequence of Flume brokers utilizing the Apache Flume provider to successfully gather, mixture, and stream quite a lot of occasion data
- Configure failover paths and cargo balancing to take away unmarried issues of failure
- Use this step by step consultant to circulate logs from program servers to Hadoop's HDFS
Who This e-book Is For
If you're a Hadoop programmer who desires to find out about Flume for you to flow datasets into Hadoop in a well timed and replicable demeanour, then this ebook is perfect for you. No past wisdom approximately Apache Flume is critical, yet a simple wisdom of Hadoop and the Hadoop dossier procedure (HDFS) is assumed.
What you'll Learn
- Understand the Flume structure, and in addition find out how to obtain and set up open resource Flume from Apache
- Follow alongside an in depth instance of transporting weblogs in close to genuine Time (NRT) to Kibana/Elasticsearch and archival in HDFS
- Learn suggestions and methods for transporting logs and knowledge on your creation environment
- Understand and configure the Hadoop dossier process (HDFS) Sink
- Use a morphline-backed Sink to feed info into Solr
- Create redundant information flows utilizing sink groups
- Configure and use a variety of assets to ingest data
- Inspect information documents and stream them among a number of locations in accordance with payload content
- Transform information en-route to Hadoop and computer screen your info flows
Apache Flume is a dispensed, trustworthy, and to be had carrier used to successfully acquire, mixture, and circulate quite a lot of log information. it's used to movement logs from software servers to HDFS for advert hoc analysis.
This e-book starts off with an architectural assessment of Flume and its logical parts. It explores channels, sinks, and sink processors, by way of resources and channels. by way of the top of this ebook, you'll be absolutely built to build a sequence of Flume brokers to dynamically shipping your circulate info and logs out of your structures into Hadoop.
A step by step e-book that publications you thru the structure and parts of Flume masking diversified ways, that are then pulled jointly as a real-world, end-to-end use case, steadily going from the easiest to the main complicated features.
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Additional resources for Apache Flume: Distributed Log Collection for Hadoop - Second Edition
Apache Flume: Distributed Log Collection for Hadoop - Second Edition by Steve Hoffman