使用NoSQLBooster工具上传非结构化数据到MONGODB

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI:10.1109/SIST50301.2021.9465930

A. Mukasheva, D. Yedilkhan, Igor Zimin

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引用次数: 1

摘要

这项研究是糖尿病诊断和治疗支持领域的一项大型研究的一部分。系统实现了结构化和非结构化数据的存储和处理功能。也可以在自动和手动模式下控制系统。在手工管理模式下，非结构化数据通过NoSQLBooster工具加载到开发的信息系统平台中。在MongoDB实用程序中以手动管理模式创建和加载非结构化数据库对于数据加载是必要的。本信息系统采用Apache Ambari软件产品，提供对Hadoop集群的管理功能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Uploading Unstructured Data to MONGODB Using the NoSQLBooster Tool

This study is part of a large study in the field of diabetes diagnosis and treatment support. The system implements functions for storing and processing structured and unstructured data. It is also possible to control the system in automatic and manual modes. In manual management mode, unstructured data is loaded into the developed information system platform using the NoSQLBooster tool. Creating and loading unstructured databases in the MongoDB utility in manual management mode is necessary for data loading. This information system uses the Apache Ambari software product, which allows you to manage the Hadoop cluster.

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2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)

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