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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-databricks/
课程评论：没有评论
**课程名称：Azure Databricks 大数据分析：精通班** **课程概述：** 本课程旨在教授您如何使用 Azure Databricks 进行大数据分析。Databricks 由 Apache Spark 的创始人开发，旨在利用 Spark 强大的分布式集群编程能力，高效解决复杂的数据工程和数据科学问题。本课程将重点关注在 Azure 平台上创建、管理 Databricks 集群以及执行 ETL（提取、转换、加载）操作。 **课程内容：** 课程将从 Azure Databricks 的基础知识讲起，逐步深入到使用 Azure Databricks 进行 ETL 操作的高级主题。所有内容都将通过实践操作实验课程和易于理解的示例进行讲解。 **课程特色：** * **适合初学者：** 即使您对 Databricks 了解甚少，也能轻松入门。 * **全面覆盖：** 从云计算和 Azure 基础知识讲起，直到 Azure Databricks 的所有核心主题。 * **实践导向：** 所有学习内容均通过实际操作实验课程进行，确保您掌握实用技能。 * **语言支持：** 课程将使用 Scala 和 SQL 语言编写代码。 * **备考支持：** 对准备 Azure 数据工程师认证 (DP-200, DP-201, DP-203) 的学员极有帮助。 **学习目标：** * 掌握 Azure Databricks 的基础概念和组件。 * 学会创建、配置和管理 Azure Databricks 集群。 * 熟悉使用 Databricks 进行数据提取、转换和加载（ETL）操作。 * 能够在 Azure 环境中高效地处理和分析大数据。 * 为获取 Azure 数据工程师相关认证打下坚实基础。
Databricks was developed with the original founders of Apache Spark with the motive to solve complex data engineering and data science problems in the most efficient way using distributed cluster based programming with the power of Spark framework under the hood.Databricks provides fully managed clusters on cloud and integrates well with AWS and Azure both. But, in this course we are going to focus on how to create, manage and perform ETL operations using Azure platform.In this course, you will learn right from the basics of Azure Databricks and slowly progress towards the advanced topics of performing ETL operations in Azure Databricks using practical hands on lab sessions.This course is ideal for beginners with little or no knowledge of Databricks.We will start right from the basics of cloud computing , overview of azure and will slowly progress with the databricks related topics.All the topics of Azure Databricks are covered using practical hands on lab sessions with easy to understand examples.Also, this course is helpful for those preparing for Azure Data Engineer Certification (DP-200. DP-201. DP-203) For any questions or concerns, feel free to drop a message or question in the communication section of UdemyNote: This course contains code written in scala and sqlHappy Learning!!
