May 2019
Intermediate to advanced
344 pages
10h 44m
English
Content preview from Event Streams in ActionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 7. Archiving events
This chapter covers
- Why you should be archiving raw events from your unified log
- The what, where, and how of archiving
- Archiving events from Kafka to Amazon S3
- Batch-processing an event archive via Spark and Elastic MapReduce
So far, our focus has been on reacting to our events in stream, as these events flow through our unified log. We have seen some great near-real-time use cases for these event streams, including detecting abandoned shopping carts and monitoring our servers. You would be correct in thinking that the immediacy of a unified log is one of its most powerful features.
But in this chapter, we will take a slight detour and explore another path that our event streams can take: into a long-term store, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.