Book Image

Developing Robust Date and Time Oriented Applications in Oracle Cloud

By : Michal Kvet
Book Image

Developing Robust Date and Time Oriented Applications in Oracle Cloud

By: Michal Kvet

Overview of this book

Proper date and time management is critical for the development and reliability of Oracle Databases and cloud environments, which are among the most rapidly expanding technologies today. This knowledge can be applied to cloud technology, on premises, application development, and integration to emphasize regional settings, UTC coordination, or different time zones. This practical book focuses on code snippets and discusses the existing functionalities and limitations, along with covering data migration to the cloud by emphasizing the importance of proper date and time management. This book helps you understand the historical background and evolution of ANSI standards. You’ll get to grips with data types, constructor principles, and existing functionalities, and focus on the limitations of regional parameters and time zones, which help in expanding business to other parts of the world. You’ll also explore SQL injection threats, temporal database architecture, using Flashback Technology to reconstruct valid database images from the past, time zone management, and UTC synchronization across regions. By the end of this book, you’ll be able to create and manage temporal systems, prevent SQL injection attacks, use existing functionalities and define your own robust solutions for date management, and apply time zone and region rules.
Table of Contents (26 chapters)
1
Part 1: Discovering Oracle Cloud
4
Part 2: Understanding the Roots of Date and Time
7
Part 3: Modeling, Storing, and Managing Date and Time
12
Part 4: Modeling Validity Intervals
17
Part 5: Building Robust and Secure Temporal Solutions
20
Part 6: Expanding a Business Worldwide Using Oracle Cloud

Using positional relations in temporal space

A temporal database is characterized by extending the object identifier by the time dimensions introduced in the Exploring temporal dimensions section in Chapter 11. Typically, the object cannot be directly identified by the ID. Time validity must be applied as well. Thus, there are multiple states for each object. However, each data object tuple characterizes the object’s values at a particular time frame. It must be ensured that each state is defined by no more than one valid state at any time. The uni-temporal model uses a one-time dimension, mostly related to validity. The temporal integrity covers the reliability of the system. Supervision is done by the transaction manager using the positional relationships in the temporal space. The aim is to ensure that each object is characterized by one state, allowing users to sort the states based on the timeline. To do that, the following relationships are used:

  • The [intersects...