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Indexing

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May 1, 2024 Updated May 11, 2025 22 minute read

At its core, indexing is the process of organizing data to enable faster retrieval. Think of it like the index in the back of a book: instead of reading every page to find a specific topic, you can quickly look up the topic in the index and go directly to the relevant pages. Similarly, in the digital world, indexing allows systems to locate information swiftly without having to scan through entire datasets. This fundamental concept is applied in various domains, from the databases that power our applications to the search engines that help us navigate the vastness of the internet, and even in the financial markets that drive economies.

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Reading list

We've selected eight 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 Indexing.
Practical guide to using Apache Lucene, one of the most popular open-source search engines. It covers a wide range of topics, including indexing, searching, and faceting.
Comprehensive guide to indexing in Microsoft SQL Server. It covers a wide range of topics, including index types, index design, and index maintenance.
Comprehensive guide to indexing in PostgreSQL. It covers a wide range of topics, including index types, index design, and index maintenance.
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Comprehensive guide to indexing in MySQL. It covers a wide range of topics, including index types, index design, and index maintenance.
Practical guide to using Apache Solr, a popular open-source search platform. It covers a wide range of topics, including indexing, searching, and administration.
Comprehensive guide to using Elasticsearch, a popular open-source search engine. It covers a wide range of topics, including indexing, searching, and analytics.
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