Apache Druid: A Hands-on Course

所在平台: Udemy

课程主页: https://www.udemy.com/course/apache-druid-a-hands-on-course/

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**课程名称:** Apache Druid:实战课程 **课程概述:** 本课程是一门关于 Apache Druid 的实战教学。Apache Druid 是一款高性能的实时分析数据库,以其优秀的特性、处理海量数据(包括实时数据)的效率以及亚秒级响应速度而闻名。它快速、健壮、可扩展、安全,易于查询和数据摄取。 作为大数据技术领域的最新数据库,Apache Druid 正在迅速获得市场认可,并在实时分析流程中扮演着关键角色。Netflix、Airbnb、Google、Walmart 等众多知名公司已开始使用 Apache Druid 处理其实时大数据,另有数千家公司也在积极探索和应用。 Apache Druid 融合了搜索平台、时间序列数据库和 OLAP 系统的最佳特性。因此,如果您的数据是按时间组织、需要进行切片和切块以支持面向用户的分析、或者需要进行全文搜索,那么 Druid 将是您的理想选择。 **课程内容:** 本课程将从零开始,全面讲解 Apache Druid 的概念和功能,并涵盖从基础到生产环境的应用场景。课程的每个 Apache Druid 概念都将通过**实操练习**进行详细解释,甚至包括在 Druid 官方文档中解释不够清晰的部分。 为了方便学员学习,课程中提供了所有相关的命令和数据集。

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Apache Druid is a high performance real-time analytics database. It comes up with some excellent features, and has proved to be really efficient in managing big amounts of data, even real time data, and serving the results in sub-second latency. It is fast, resilient, scalable, secure, easily queryable, and easy to ingest.Apache Druid is the latest database in the Big Data technology and is rapidly gaining momentum in the market. It is playing a crucial role in the real-time analytics pipeline.Demand of Druid in market is already swelling. Big companies like Netflix, Airbnb, Google, Walmart have already started using Apache Druid to process their Real-time Big data and thousands other are diving into.Apache Druid takes in the best features from Search platforms, Timeseries databases and OLAP systems. So, if you have data that is organized around time, if you are doing slicing and dicing of that data for user-facing analytics, if you are doing full-text search, these are all markers of a good use-case for Druid. What's included in the course?Complete course on Apache Druid concepts and capabilities explained from Scratch to Production use-cases.Each and Every Apache Druid concept is explained with a HANDS-ON.Include even those concepts, the explanation to which is not very clear even in Druid official documentation.Related Commands and Datasets used in lectures are attached in the course for your convenience.

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