|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/elasticsearch-and-elastic-stack/
课程评论：没有评论
课程名称：Elasticsearch 9 和 Elastic Stack：深入与实操 课程概述： 此课程最新更新至Elasticsearch 9（几乎所有课程与Elasticsearch 8兼容）。Elasticsearch和Elastic Stack是管理大量数据的重要工具，了解其解决的问题及其工作原理对于设计最佳系统以及成为最有价值的工程师至关重要。Elasticsearch是分析大数据集的强大工具，能够在几毫秒内完成分析！它在大型网站的搜索和分析中越来越流行，成为当今就业市场中一项宝贵的技能。 课程涵盖了从安装到操作的所有内容，让您在接下来的几天内学会如何使用Elasticsearch并在工作中实施。我们与Coralogix合作共同制作了这门全面的Elastic Stack课程，包含超过100节课时的14小时视频。我们将教您如何在Elasticsearch 9集群上设置搜索索引，并以多种不同方式查询数据，包括模糊搜索、部分匹配、类似打字搜索、分页和排序等。每节课都有实践示例，您将使用在自己PC上运行的虚拟机进行Elasticsearch实践。 您还将学习如何将Elasticsearch用作向量数据库或向量存储，这是现代生成性AI应用的重要组成部分。我们深入讲解常被忽视的将数据导入Elasticsearch索引的问题，包括通过原始RESTful查询、使用Elasticsearch API的脚本或与其他“大数据”系统如Spark和Kafka的集成，展示多种方式如何从大规模现有数据集启动Elasticsearch。此外，我们还将使用Logstash和Filebeat将数据流入Elasticsearch，这一组合常被称为“ELK Stack”（Elasticsearch / Logstash / Kibana）或“Elastic Stack”。 Elasticsearch已不仅仅用于搜索，它还具备强大的结构化数据聚合能力，使您能够从索引数据中获得新见解。我们将利用Elasticsearch对数据进行分桶和分析，并通过Elastic Stack的Web界面Kibana和Kibana Lens进行可视化。您将学习如何管理Elastic Stack的操作，监测集群健康状态，以及如何执行扩展集群和滚动重启等操作任务。此外，我们还将在云端使用Amazon Opensearch Service和Elastic Cloud搭建Elasticsearch集群。 Elasticsearch正在成为Hadoop、Spark和Flink等许多常见数据分析需求的更快替代方案。它是一种重要且易于使用的工具；快来和我一起深入了解吧！
Now updated for Elasticsearch 9! (Almost all lessons are compatible with Elasticsearch 8 as well.)Elasticsearch and the Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems, and be the most valuable engineer you can be.Elasticsearch is a powerful tool for analyzing big data sets in a matter of milliseconds! It's increasingly popular technology for powering search and analytics on big websites, and a valuable skill to have in today's job market. This course covers it all, from installation to operations. Learn how to use Elasticsearch and implement it in your work within the next few days.We've teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we've seen- with over 100 lectures including 14 hours of video.We'll show you how to set up search indices on an Elasticsearch 9 cluster, and query that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples where you'll practice each skill using a virtual machine running Elasticsearch on your own PC.You'll learn how to use Elasticsearch as a vector database or vector store, an important component of modern generative AI applications.We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch using Logstash and Filebeat - commonly referred to as the "ELK Stack" (Elasticsearch / Logstash / Kibana) or the "Elastic Stack".Elasticsearch isn't just for search anymore - it has powerful aggregation capabilities for structured data, which allows you to glean new insights from your indexed data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI, Kibana and Kibana Lens.You'll learn how to manage operations on your Elastic Stack, monitoring your cluster's health, and how to perform operational tasks like scaling up your cluster, and doing rolling restarts. We'll also spin up Elasticsearch clusters in the cloud using Amazon Opensearch Service and the Elastic Cloud.Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about.
