May 2021
Beginner to intermediate
336 pages
11h
English
Content preview from Designing Cloud Data Platforms
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6 Real-time data processing and analytics
This chapter covers
- Defining real-time processing and real-time analytics
- Organizing data in fast storage
- Understanding typical real-time data transformation scenarios
- Organizing data for real-time use
- Translating common data transformations into real-time processing
- Comparing real-time processing services
In this chapter, we’ll help you get a clear understanding of real-time or streaming data—one of the most popular features of a modern data platform.
We’ll cover the difference between real-time ingestion and real-time processing and walk through some examples of when to use one or both, showing different data platform designs.
We’ll also go deeper into how streaming data is organized—with producers, ...
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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.
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.
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.