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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-analyst-associate-exam-prep/
课程评论：没有评论
课程名称：Databricks认证数据分析师助理考试准备 课程概述： 本课程旨在帮助学生为Databricks SQL认证考试及以后的成功做好准备，通过在Databricks湖仓平台上进行数据查询、管理和可视化的实践训练。不论您是数据分析师、商业智能专业人士、数据工程师，还是有志于成为云数据平台分析师的从业者，本课程将帮助您熟悉Databricks SQL并为Databricks认证数据分析师助理考试做好准备。 学习内容： 第一部分：Databricks SQL基础 - 理解Databricks SQL的用户基础及相关角色。 - 学习编写基本查询及构建展示洞见的仪表盘。 - 学习如何将Databricks SQL与Tableau、Power BI等工具及数据摄取平台如Fivetran连接。 - 探索SQL端点和数据仓库，包括成本与性能的权衡及无服务器选项。 - 理解Medallion架构及其在批处理和流数据工作流中的作用。 第二部分：Delta Lake的数据管理 - 使用Delta Lake管理表、视图和元数据。 - 理解托管表与非托管表的含义及数据持久性的影响。 - 使用数据浏览器预览、保护和修改数据访问。 - 学习在组织环境中处理个人身份信息（PII）数据的最佳实践。 第三部分：湖仓中的SQL - 实践高级SQL操作：连接、合并、窗口函数、立方体、汇总和子查询。 - 利用缓存、查询历史和用户自定义函数（UDFs）优化查询性能。 - 使用查询历史和缓存来减少开发时间和查询延迟。 第四部分：数据可视化与仪表盘 - 直接在Databricks SQL中创建可视化。 - 使用查询参数和调度构建交互式仪表盘。 - 学习通过可视化改善故事讲述的技巧及仪表盘共享的最佳实践。 - 根据数据情况配置警报和通知。 第五部分：应用分析 - 使用描述性和推断性统计实施统计分析。 - 对数据进行整合和增强以获取可操作的商业洞察。 - 理解针对项目特定需求的“最后一英里”ETL技术。 适合人群： 该课程非常适合初学者、数据专业人士、商业分析师和希望增强Databricks SQL技能及为认证考试做好准备的技术利益相关者。无需 prior Databricks 或 SQL 经验。 课程结束时，您将能够： - 自信地在Databricks SQL环境中导航 - 查询、管理和可视化湖仓数据 - 在实际分析场景中应用统计概念 - 为Databricks SQL认证考试做好充分准备
This course is designed to prepare students for success in the Databricks SQL Certification exam and beyond, by providing hands-on training in querying, managing, and visualizing data on the Databricks Lakehouse Platform. Whether you're a data analyst, business intelligence professional, data engineer, or an aspiring analyst or practitioner in cloud data platforms, this course will help you get practice with Databricks SQL and prepare for the Databricks Certified Data Analyst Associate exam.What You Will Learn:Section 1: Databricks SQL EssentialsUnderstand the diverse user base and stakeholder roles in Databricks SQL.Learn to write basic queries and build dashboards that deliver insights.Learn how to connect Databricks SQL to tools like Tableau, Power BI, and ingestion platforms like Fivetran.Explore SQL endpoints and warehouses, including cost-performance trade-offs and serverless options.Understand the Medallion Architecture and its role in batch and streaming data workflows.Section 2: Data Management with Delta LakeManage tables, views, and metadata with Delta Lake.Understand managed vs. unmanaged tables and the implications of data persistence.Work with Data Explorer to preview, secure, and modify data access.Learn best practices for handling PII data in organizational settings.Section 3: SQL in the LakehousePractice advanced SQL operations: joins, merges, window functions, cubes, roll-ups, and subqueries.Optimize query performance with caching, query history, and user-defined functions (UDFs).Utilize query history and caching to reduce development time and query latency.Section 4: Data Visualization and DashboardingCreate visualizations directly within Databricks SQL.Build interactive dashboards using query parameters and scheduling.Learn techniques to improve storytelling through visuals and dashboard sharing best practices.Configure alerts and notifications based on data conditions.Section 5: Applied Analytics ApplicationsApply statistical analysis using descriptive and inferential statistics.Perform data blending and enhancement for actionable business insights.Understand "last-mile" ETL techniques tailored to project-specific needs.Who Should Take This Course:Ideal for beginners or data professionals, business analysts, and technical stakeholders looking to strengthen their skills in Databricks SQL and prepare for the certification exam. No prior Databricks or SQL experience is required.By the end of the course, you'll be able to:- Confidently navigate the Databricks SQL environment- Query, manage, and visualize Lakehouse data- Apply statistical concepts in real-world analytics scenarios- Prepare thoroughly for the Databricks SQL certification exam
