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

Temporal Database Concepts

This chapter will provide you with complex information related to temporal modeling and physical data model representations. You will be introduced to the historical evolution of databases originating from conventional (non-temporal) models by using additional extensions, following which the processing level – object, attribute, and group granularity – will be discussed. The object level is signified by the primary key extension, while attribute granularity associates the temporal sphere for each attribute separately. Therefore, a universal solution is built on group granularity, where temporal groups can be composed dynamically based on real workloads. Thanks to that, the system can automatically apply new rules and build on and structure existing groups. However, always keep in mind that the principle of the temporal table is based on the opportunity to hold multiple states for each object, delimited by the validity time frame.

We will...