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Using Apache Solr for data analysis

Khrapov Sergey Dmitrievich  (graduate student, State Educational Institution of Higher Education Moscow Region «University of technology», Korolev)

Apache Solr is an open source, highly scalable full-text search engine. This allows you to store, search and analyze large amounts of data quickly and in near real time. This is typically used as the underlying technology mechanism that enables applications that have complex search functionality and requirements. Such a system is perfect for solving the problem of information retrieval in a large storage of text data. The paper discusses the language models used in Solr, which provide fast search for documents of different sizes and formats.

Keywords:Apache solr, information retrieval, text processing, search relevance, language models.
 

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Citation link:
Khrapov S. D. Using Apache Solr for data analysis // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2021. -№04. -С. 154-157 DOI 10.37882/2223-2966.2021.04.36
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