Developing Time-Oriented Database Applications in SQL is an indispensable guide for database developers and application architects who want to build database systems that can handle temporal data. The book provides a comprehensive overview of the challenges involved in managing temporal data and offers practical solutions for implementing time-oriented database applications using SQL.
Temporal data is data that changes over time and is often critical in a wide range of applications such as financial systems, medical records, and supply chain management. Managing temporal data is challenging because it requires storing, querying, and manipulating data that changes over time. Traditional database systems are not designed to handle temporal data, which is why specialized techniques and tools are needed to manage it.
This book introduces readers to the concept of time-oriented database systems and provides a detailed explanation of how they work. It covers the fundamentals of time-oriented data modeling, including the different types of temporal data and the techniques used to store it. Readers will learn how to create and manipulate temporal data using SQL, including how to perform queries that involve time-based conditions.
The book also covers advanced topics such as managing temporal data in distributed systems, handling missing data, and managing data consistency in time-oriented databases. The author uses real-world examples throughout the book to illustrate the concepts and techniques presented. These examples are drawn from a variety of industries, including finance, healthcare, and manufacturing.
Overall, Developing Time-Oriented Database Applications in SQL is an essential resource for anyone involved in building database systems that handle temporal data. It provides a comprehensive introduction to the topic, along with practical advice and guidance for implementing time-oriented database applications using SQL. Whether you are a database developer, application architect, or data scientist, this book will help you master the techniques and tools needed to manage temporal data effectively.