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

The object-oriented temporal approach

It is clear that despite several improvements to historical databases, referenced database concepts are unsustainable for practical use in the long run. In order to make the right decision and reflect data changes, it is not enough to store and evaluate only current valid data; historical data also needs to be defined and operated. Over the decades, several attempts have been made to create a temporal model. The object-oriented temporal approach was the basis of this. Moving conventional processing to an object-level temporal model is based on the primary key, which uniquely identifies any object in a conventional database. A conventional system uses just one object version expressing the current valid state, while a temporal model stores the whole evolution. Thus, to manage the object, several versions must be identified and processed. To do so, the original primary key is extended to reference the version. It is mostly modeled by the validity...