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Developing Robust Date and Time Oriented Applications in Oracle Cloud

You're reading from   Developing Robust Date and Time Oriented Applications in Oracle Cloud A comprehensive guide to efficient date and time management in Oracle Cloud

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804611869
Length 464 pages
Edition 1st Edition
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Author (1):
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Michal Kvet Michal Kvet
Author Profile Icon Michal Kvet
Michal Kvet
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Table of Contents (26) Chapters Close

Preface 1. Part 1: Discovering Oracle Cloud
2. Chapter 1: Oracle Cloud Fundamentals FREE CHAPTER 3. Chapter 2: Data Loading and Migration Perspectives 4. Part 2: Understanding the Roots of Date and Time
5. Chapter 3: Date and Time Standardization Principles 6. Chapter 4: Concepts of Temporality 7. Part 3: Modeling, Storing, and Managing Date and Time
8. Chapter 5: Modeling and Storage Principles 9. Chapter 6: Conversion Functions and Element Extraction 10. Chapter 7: Date and Time Management Functions 11. Chapter 8: Delving into National Language Support Parameters 12. Part 4: Modeling Validity Intervals
13. Chapter 9: Duration Modeling and Calculations 14. Chapter 10: Interval Representation and Type Relationships 15. Chapter 11: Temporal Database Concepts 16. Chapter 12: Building Month Calendars Using SQL and PL/SQL 17. Part 5: Building Robust and Secure Temporal Solutions
18. Chapter 13: Flashback Management for Reconstructing the Database Image 19. Chapter 14: Building Reliable Solutions to Avoid SQL Injection 20. Part 6: Expanding a Business Worldwide Using Oracle Cloud
21. Chapter 15: Timestamp Enhancements 22. Chapter 16: Oracle Cloud Time Zone Reflection 23. Assessments 24. Index 25. Other Books You May Enjoy

What timepoint means and how to use it

The moment in time is characterized by only one value expressing validity. It can be used to model either one timepoint or the start point of the duration. If the timepoint represents only one value, it must be ensured that a new state is inserted for each moment, regardless of the change. For example, a new data image must be entered into the database every month if monthly granularity is used. The management of the system is controlled by a plan (calendar) of events, which occurs periodically. These systems are suitable for obtaining a slice (image) of data in precisely defined periods but without further analysis of the changes in individual attributes. This limitation is just related to storage demands. Data is stored periodically, irrespective of the real change. As a result, many duplicates can be present. Expressing the duration by the end point is uncommon as it can be unknown or not very precise. People usually don’t know in advance...

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