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所在平台: Udemy |
课程主页: https://www.udemy.com/course/realtime-analytics-with-apache-pinot-and-apache-flink/
课程评论：没有评论
**课程名称：** Apache Pinot 与 Apache Flink 实时分析 **课程概述：** 在当今瞬息万变的商业环境中，从数据中提取可行的实时洞察至关重要。实时分析能力可以成为企业间的差异化因素。掌握实时分析的方法是一项重要且面向未来的技能。 本课程将通过一个真实的行业用例——在线网约车服务公司，深入讲解如何利用 Apache Pinot 和 Apache Flink 实现实时分析。您将理解实时分析在该类场景中的应用，并重点关注实际业务需求的解决。 课程强调理论与实践相结合，包含大量的动手实践环节，展示实际操作方法。 **课程内容：** * **为何需要实时分析：** 理解实时分析的必要性。 * **实时分析在在线网约车公司用例中的应用：** 了解实时分析在特定业务场景中的定位。 * **实时分析系统架构：** 介绍 Apache Kafka 的基础知识，以及它如何连接实时分析系统的各个组件。 * **Apache Flink 基础概念：** 学习 Flink 的核心概念。 * **Flink 动态表与版本表：** 掌握 Dynamic Tables 和 Versioned Tables。 * **Flink 的 Checkpoints 和 Watermarks：** 理解 Checkpoints 和 Watermarks 的重要性。 * **Flink 的不同 Join 类型：** 学习 Regular Joins 和 Temporal Joins 等。 * **Apache Pinot 的实时数据摄取与 Upsert：** 了解如何在 Pinot 中进行实时数据摄取和数据更新。 * **在 Apache Pinot 中运行分析查询：** 学习使用 Pinot 进行分析查询。 * **使用 Apache Superset 创建实时数据仪表板：** 学习构建实时数据仪表板。 **课程目标：** 完成本课程后，您将能够搭建一个适用于在线网约车服务公司的、可工作的实时分析系统。
In Today's Fast paced Business Environment, the ability to Extract Actionable Insights from data in a Realtime manner is very Important. Real-time Analytics can act as a differentiating factor between various Companies. Knowing how Realtime Analytics can be done, is a very important Skill set which is necessary right now and will be necessary in the future as well.In this Course I have covered how you can do Realtime Analytics using Apache Pinot and Apache Flink with the help of a real industry use case. You will Understand how Real-time Analytics can be done for an Online Cab Service Company.It is necessary to not just know the Theory but also implement Things Hands On. So this course has a lot of Hands On Sessions to show you how things can be implemented. Also at every step we will be focusing on the actual Business use case which is being solvedThis Course Covers the following Topics:Understand Why Realtime Analytics is Needed.Understand Where Realtime Analytics comes in for a Use Case like Online Cab Service Company.Architecture of a Realtime Analytics System. An Introduction to Apache Kafka and also an illustration of how Kafka acts helps connect all the Components of a Real-time Analytics System.Basic Concepts of Apache Flink.Flink Dynamic Tables and Versioned Tables.Concepts Like Checkpoints and Watermarks in Apache Flink.Different types of Joins in Apache Flink Like Regular Joins and Temporal Joins.Realtime data ingestion and data upserts in Apache Pinot.Running Analytical Queries in Apache Pinot.Creating Dashboards for Realtime data in Apache SupersetBy the end of this course, You will have a working Realtime Analytics System in your local system for an Online Cab Service Company.
