{ "item_title" : "Relational Data Access Engineering", "item_author" : [" Victor S. Arrieta "], "item_description" : "RELATIONAL DATA ACCESS ENGINEERINGModern software depends on reliable access to structured information. As databases grow in size and complexity, the way data is modeled, indexed, queried, and managed can have a significant effect on application behavior and system performance.RELATIONAL DATA ACCESS ENGINEERING explores the engineering principles behind efficient relational data access, covering database structures, normalization, indexing, query planning, transaction control, and information retrieval.The book examines how database design decisions influence the way applications store, retrieve, modify, and manage information.Readers will explore: - Fundamentals of relational database architecture- Designing structured relational database schemas- Database normalization and data organization- Relationships between tables and database entities- Indexing strategies for data retrieval- SQL query structure and optimization- Query execution plans and performance analysis- Identifying inefficient database operations- Transaction control and data consistency- Concurrency considerations in database systems- Data access patterns in software applications- Techniques for analyzing and improving database performanceThe book approaches data access as an engineering discipline in which database structure, queries, indexes, transactions, and application behavior must work together.A database query does not operate in isolation. Its performance can be influenced by schema design, indexes, data distribution, query structure, execution strategies, and the workload placed on the system. Understanding these relationships allows engineers to reason more effectively about database behavior.For software engineers, developers, database professionals, architects, computer science students, and readers interested in database performance, RELATIONAL DATA ACCESS ENGINEERING provides a structured exploration of the principles behind relational data organization and efficient information retrieval.The goal is to help readers understand how relational databases process and manage information, how design choices affect data access, and how systematic analysis can be used to improve the efficiency and reliability of database-driven applications.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/817/087/9798170872961_b.jpg", "price_data" : { "retail_price" : "14.99", "online_price" : "14.99", "our_price" : "14.99", "club_price" : "14.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details