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AWS Certified Database – Specialty (DBS-C01) Certification Guide

You're reading from   AWS Certified Database – Specialty (DBS-C01) Certification Guide A comprehensive guide to becoming an AWS Certified Database specialist

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803243108
Length 472 pages
Edition 1st Edition
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Author (1):
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Kate Gawron Kate Gawron
Author Profile Icon Kate Gawron
Kate Gawron
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Introduction to Databases on AWS
2. Chapter 1: AWS Certified Database – Specialty Overview FREE CHAPTER 3. Chapter 2: Understanding Database Fundamentals 4. Chapter 3: Understanding AWS Infrastructure 5. Part 2: Workload-Specific Database Design
6. Chapter 4: Relational Database Service 7. Chapter 5: Amazon Aurora 8. Chapter 6: Amazon DynamoDB 9. Chapter 7: Redshift and DocumentDB 10. Chapter 8: Neptune, Quantum Ledger Database, and Timestream 11. Chapter 9: Amazon ElastiCache 12. Part 3: Deployment and Migration and Database Security
13. Chapter 10: The AWS Schema Conversion Tool and AWS Database Migration Service 14. Chapter 11: Database Task Automation 15. Chapter 12: AWS Database Security 16. Part 4: Monitoring and Optimization
17. Chapter 13: CloudWatch and Logging 18. Chapter 14: Backup and Restore 19. Chapter 15: Troubleshooting Tools and Techniques 20. Part 5: Assessment
21. Chapter 16: Exam Practice
22. Chapter 17: Answers 23. Other Books You May Enjoy

AWS Glue

AWS Glue is a fully managed, serverless data integration and ETL service. It can extract, manipulate, and transform data from a wide range of sources, allowing you to create accurate data models that can be imported into a database, loaded into an analytics platform, or used for machine learning models.

AWS Glue can be controlled using both the Console and CLI commands to allow you to configure automated data handling and data loading into your databases.

There are three components that AWS Glue uses:

  • AWS Glue Data Catalog: This is a central repository that holds information about your data. It acts as an index to your schema and data stores, which helps control your ETL jobs.
  • Job Scheduling System: This is a highly customizable scheduler. It can handle not only time-based scheduling but also contains options to allow it to watch for new files or new data to be processed, as well as event-driven scheduling.
  • ETL Engine: AWS Glue's ETL engine is the...
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