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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

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781804611869
Pages 464 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Michal Kvet Michal Kvet
Profile icon Michal Kvet

Table of Contents (26) Chapters

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

Further reading

  • Concept of temporal data retrieval: Undefined value management by Michal Kvet, Štefan Toth, and Emil Kršák discusses the complexity of the temporal data retrieval process in the temporal environment, focusing on undefined value management: https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpe.5399
  • The Complexity of the Data Retrieval Process Using the Proposed Index Extension by Michal Kvet and Jozef Papán deals with an index extension to ensure the performance of the select statement. The performance optimization techniques are based on limiting migration rows, post-indexing, data pointer reflectors, and priority management by introducing architecture enhancements. It is published in the IEEE Access journal and is open-access: https://ieeexplore.ieee.org/document/9763539
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