This chapter covers some specifics of how to stream data that you have identified. There are always more ways to stream data, but this covers the most common methods currently in use.
There are two important aspects to consider with any streaming data endeavor: publication and subscription. Both must be in place to effectively stream data for a visualization. Regardless of your data source, you will need to publish the data into a stream. Streams of data are often divided into channels and sometimes further divided into events. A service needs to exist to publish to, and a client needs to be connected to that service to publish events into it. This is an important detail to consider when evaluating data streaming services. First you need to get your data into the service; then you need to subscribe to a data stream. The exact method you use for this will depend on the service you choose. You will then receive the stream of data that is published, filtered by channels and events in some cases. This is the data you will be able to visualize.
Many publishers and many subscribers can be working within the same data stream. This is one of the advantages of streaming data: it lends itself well to a distributed architecture. You could have a large collection of servers publish their errors into a data stream and have multiple subscribers to that data ...
Become 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, and much more.
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.
Head of Cybersecurity
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.
Field Engineer
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
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.
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.