May 1, 2024
Updated May 13, 2025
22 minute read
At a high level, an index is a data structure that improves the speed of data retrieval operations on a database or other large collections of information. Think of it like the index at the back of a book: instead of flipping through every page to find a specific topic, you can quickly look it up in the index and go directly to the relevant pages. Similarly, in the digital world, indexes allow computer systems to locate specific pieces of data much faster than scanning an entire dataset. This is crucial for applications that need to access and process large amounts of information quickly and efficiently.
9x0y94|
Find a path to becoming a Indexes. Learn more at:
OpenCourser.com/topic/9x0y94/indexe
Reading list
We've selected 27 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Indexes.
Provides a broad and fundamental understanding of database systems, including a dedicated section on indexing and hashing. It is widely used as a textbook in undergraduate and graduate database courses, making it an excellent resource for building foundational knowledge required for understanding indexes. It's valuable both as a primary learning resource and a comprehensive reference.
A comprehensive textbook covering the core concepts of database systems, with significant chapters dedicated to file structures, hashing, and indexing techniques. is suitable for both introductory and advanced database courses, providing a solid theoretical foundation and practical insights into how indexes are implemented and utilized.
Delves into the inner workings of databases, providing a detailed look at storage engines, indexing structures (including B-trees and LSM trees), and concurrency control. It's particularly relevant for those looking to deepen their understanding of how indexes function at a low level within modern database systems, including NoSQL databases.
While not solely focused on indexing, this book provides essential context by discussing the trade-offs and design decisions behind various data storage and processing systems. It covers indexing techniques within the broader scope of building scalable and reliable applications, making it highly relevant for understanding the practical implications of index design.
Practical guide to optimizing MySQL performance, with a strong emphasis on indexing strategies and query tuning. It's an invaluable resource for professionals working with MySQL databases who need to understand how to design and utilize indexes effectively for performance. The 4th edition is recent and highly relevant.
A seminal work in computer science, this volume provides exhaustive coverage of sorting and searching algorithms and data structures, including detailed analysis of various indexing methods. It's a classic reference for anyone seeking a deep, theoretical understanding of these fundamental concepts.
Focused specifically on SQL tuning, this book provides a systematic approach to understanding and manipulating query execution plans. A deep understanding of execution plans is crucial for effective index utilization, making this book highly relevant for anyone involved in optimizing SQL queries.
While a general algorithms book, this classic text covers fundamental data structures and algorithms that are essential for understanding how indexes work, such as B-trees and hashing. It provides the theoretical basis for many indexing techniques. This foundational text for computer science students.
Provides a comprehensive overview of SQL, including how to use indexes effectively. It covers a wide range of topics, from basic SQL syntax to advanced query optimization techniques.
Provides deep, vendor-specific knowledge on indexing within the Oracle database system. It is highly practical for database professionals working with Oracle and offers detailed strategies for designing, implementing, and maintaining effective indexes. (Note: Finding a recent edition ISBN proved challenging in the search results, focusing on relevance to the topic).
Focuses on the organization and management of data on secondary storage, which is directly relevant to understanding how indexes are implemented at the file system level. It provides a practical, code-oriented approach using C++.
Provides in-depth coverage of performance tuning for Microsoft SQL Server, with a significant focus on indexing strategies and query optimization specific to the SQL Server environment. It's a valuable resource for database professionals working with SQL Server. (Note: Finding a recent edition ISBN proved challenging in the search results, focusing on relevance to the topic).
Offers a practical approach to data structures and algorithms, including those relevant to indexing. It's often used for interview preparation and provides numerous examples and solutions that can help solidify understanding of how these concepts are applied.
Another strong algorithms textbook that covers fundamental concepts relevant to indexing, such as sorting, searching, and graph algorithms. It provides a solid theoretical backing for understanding the efficiency and complexity of different indexing approaches.
Provides practical guidance on optimizing MySQL performance, including how to choose and use indexes effectively. It covers a wide range of topics, from query optimization to replication and backup strategies.
Provides a comprehensive overview of NoSQL databases, including how to choose and use the right database for a given application. It covers a wide range of topics, from data models to query languages.
While broader than just indexing, this book covers the operational aspects of database systems, including how indexing impacts performance and reliability in production environments. It's valuable for professionals who need to understand the practical considerations of managing indexed databases at scale.
Classic in data warehousing and focuses on dimensional modeling. While not solely about indexing, it discusses the importance of indexing in optimizing query performance in data warehouses. It's a useful reference for those interested in indexing within an analytical context.
Provides a comprehensive guide to MongoDB, including how to use indexes effectively. It covers a wide range of topics, from basic MongoDB syntax to advanced query optimization techniques.
Provides a comprehensive guide to PostgreSQL, covering all aspects of database administration, including indexing. It explains how to create and manage indexes, and how to choose the right index for a given workload.
Collection of seminal papers in the field of database systems. It includes foundational research on indexing structures and techniques, offering a historical perspective and deep theoretical insights into the evolution of database indexing. It's more suitable for graduate students and researchers.
Provides a comprehensive guide to Lucene, including how to use indexes effectively. It covers a wide range of topics, from basic Lucene concepts to advanced search techniques.
Provides a comprehensive guide to Redis, including how to use indexes effectively. It covers a wide range of topics, from basic Redis commands to advanced data structures.
Focuses on MongoDB, a popular NoSQL database. It includes information on indexing strategies specific to document databases, which is valuable for understanding indexing beyond the traditional relational model. The second edition covers MongoDB 3.0.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/9x0y94/indexe
Save
