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所在平台: Udemy |
课程主页: https://www.udemy.com/course/oracle-database-and-elk-stack-data-visualization/
课程评论：没有评论
课程名称：Oracle数据库与ELK堆栈 - 数据可视化 概述：为了利用Elasticsearch强大的搜索功能，许多企业会将Elasticsearch与现有关系数据库一起部署。在这种情况下，需要保持Elasticsearch与相关关系数据库中存储数据的同步。本课程将演示如何使用ELK堆栈可视化关系数据库管理系统（RDBMS）数据，并使用Kibana创建美观的可视化和仪表板。我们将从零开始进行所有操作。完成此课程后，您将了解到ELK不仅用于日志记录，还可用于可视化RDBMS数据。此外，我将在课程中使用AWS RDS、GCP Compute Engine和AWS S3。相信您会在学习过程中感到乐趣。“ELK”是三个开源项目的缩写：Elasticsearch、Logstash和Kibana。Elasticsearch是一个搜索和分析引擎；Logstash是一个服务器端数据处理管道，能够同时从多个来源摄取数据，进行转换，然后将其发送到Elasticsearch等“储存”中；Kibana让用户通过图表和图形可视化Elasticsearch中的数据。Elastic Stack是ELK Stack的下一次演变。Oracle数据库产品为客户提供了经过成本优化和高性能的Oracle数据库版本，这是全球领先的多模型数据库管理系统，并包括内存数据库、NoSQL和MySQL数据库。
To take advantage of the powerful search capabilities offered by Elasticsearch, many businesses will deploy Elasticsearch alongside existing relational databases. It will likely be necessary to keep Elasticsearch synchronized with the stored data in the associated relational database in such a scenario. (Source: Official Elastic Documentation)This course will see how we can visualize RDBMS data using elk stack, and we will use Kibana to create beautiful visualizations and dashboards. We are going to do everything from scratch.After completing this course, you'll get an idea that ELK is not only used for logging purposes but can be used for visualizing RDBMS data. Additionally, I will use AWS RDS, GCP Compute Engine, AWS S3 in the course. I'm sure you'll have fun learning these sessions."ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.The Elastic Stack is the next evolution of the ELK Stack. Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL and MySQL databases.
