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Managing Data Integrity for Finance

You're reading from  Managing Data Integrity for Finance

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781837630141
Pages 434 pages
Edition 1st Edition
Languages
Author (1):
Jane Sarah Lat Jane Sarah Lat
Profile icon Jane Sarah Lat

Table of Contents (16) Chapters

Preface 1. Part 1: Foundational Concepts for Data Quality and Data Integrity for Finance
2. Chapter 1: Recognizing the Importance of Data Integrity in Finance 3. Chapter 2: Avoiding Common Data Integrity Issues and Challenges in Finance Teams 4. Chapter 3: Measuring the Impact of Data Integrity Issues 5. Part 2: Pragmatic Solutions to Manage Financial Data Quality and Data Integrity
6. Chapter 4: Understanding the Data Integrity Management Capabilities of Business Intelligence Tools 7. Chapter 5: Using Business Intelligence Tools to Fix Data Integrity Issues 8. Chapter 6: Implementing Best Practices When Using Business Intelligence Tools 9. Chapter 7: Detecting Fraudulent Transactions Affecting Financial Report Integrity 10. Part 3: Modern Strategies to Manage the Data Integrity of Finance Systems
11. Chapter 8: Using Database Locking Techniques for Financial Transaction Integrity 12. Chapter 9: Using Managed Ledger Databases for Finance Data Integrity 13. Chapter 10: Using Artificial Intelligence for Finance Data Quality Management 14. Index 15. Other Books You May Enjoy

Summary

In this chapter, we discussed how ledger databases can help us with data integrity management. In our hands-on examples, we specifically used Amazon QLDB, a fully managed ledger database available on AWS. We started by creating an AWS account and then creating an S3 bucket where our journal data from QLDB would be exported. After that, we created the QLDB ledger resource and covered the basic concepts such as getting the digest, the PartiQL editor, how to create a table, and inserting data into the table. Then, we covered how verification is done in QLDB, and why being immutable and cryptographically verifiable are crucial in preventing data integrity issues. We also covered how to work with the built-in history function and data even though they have been deleted. Lastly, we covered the best practices when using ledger databases, particularly for QLDB. Now that you are equipped with a solid understanding of these concepts, you know how the use of this type of database can...

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