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
