May 2021
Beginner to intermediate
336 pages
11h
English
Content preview from Designing Cloud Data Platforms
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9 Data access and security
This chapter covers
- Appreciating how data from the data platform is consumed
- Comparing cloud-native data warehouse offerings
- Using cloud-native services for data access patterns for applications
- Simplifying the machine learning lifecycle
- Understanding the basics of a cloud security model
In this chapter we acknowledge that the primary reason for developing a data platform is to cost effectively and securely make data available to data consumers—at scale. While throughout this book we have assumed that your data platform will include a data warehouse to support users who access data via business intelligence (BI) tools or by running SQL queries directly, this isn’t the only way data will be accessed.
Increasingly, ...
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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.