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Course overview
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.
What will i learn?
- Understand the Flume architecture, and also how to download and install open source Flume from Apache
- Follow along a detailed example of transporting weblogs in Near Real Time (NRT) to Kibana/Elasticsearch and archival in HDFS
- Learn tips and tricks for transporting logs and data in your production environment
- Understand and configure the Hadoop File System (HDFS) Sink
- Use a morphlinebacked Sink to feed data into Solr
- Create redundant data flows using sink groups
- Configure and use various sources to ingest data
- Inspect data records and move them between multiple destinations based on payload content
- Transform data enroute to Hadoop and monitor your data flows
Requirements
Curriculum for this course
1 Lessons
5 hrs 56 mins
Apache Flume: Distributed Log Collection for Hadoop
1 Lessons
05:56:00 Hours
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Apache Flume: Distributed Log Collection for Hadoop
Preview 05:56:00
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