July 2023
Intermediate to advanced
420 pages
10h 35m
English
Content preview from Data Wrangling on AWS
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11
Data Lake Security and Monitoring
In the previous chapters, we learned about the data wrangling process and how to utilize different services for data wrangling activities within the AWS ecosystem. By now, you should have enough knowledge on creating data pipelines using Glue DataBrew, SageMaker Data Wrangler, and AWS SDK for pandas. We also discussed the capabilities provided by AWS services such as AWS Glue, Athena, Amazon S3, and QuickSight, all of which support specific activities within your data wrangling pipeline more effectively. In this chapter, we will explore how to set up security and monitoring for the data wrangling pipeline for your workloads.
This chapter covers the following topics:
- Data lake security
- Monitoring and auditing ...
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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.