AWS Certified Data Engineer Associate Study Guide

Chapter 6. Data Operations and Support

In the evolving world of data-driven decision making, the ability to effectively manage, monitor, and optimize data processing pipelines is crucial for organizations seeking to unlock the full potential of their data assets. As data engineers, you play a pivotal role in ensuring the reliability, performance, and cost-effectiveness of these data pipelines, which power the critical analytics and business intelligence initiatives within your organization.

This chapter will explore the key aspects of data operations and support, equipping you with the knowledge and skills required to automate data processing, analyze data, maintain and monitor data pipelines, and ensure data quality. By mastering these techniques, you will become a valuable asset in your organization’s data-driven journey, enabling seamless data operations and supporting the delivery of actionable insights.

This chapter will help you learn how to do the following:

• Analyze data using a variety of AWS services, including Amazon QuickSight, Amazon Athena, and Amazon Redshift.

• Monitor data pipelines by deploying comprehensive logging and monitoring solutions, leveraging tools like Amazon CloudWatch, AWS CloudTrail, Amazon Macie, and system tables for specific services.

• Apply best practices for performance tuning and troubleshooting data processing pipelines.

• Build robust data pipelines to achieve your recovery point objective (RPO) and recovery time objective (RTO) in case ...