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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-engineer-professional-exam-practice-dump/
课程评论：没有评论
课程名称：Databricks认证数据工程师专业考试 课程概述：如果您正在准备Databricks认证数据工程师专业考试，本课程旨在通过两个详细的模拟测试为您提供全面的练习和深入的理解。每个测试都配有详尽的解释，帮助您有效掌握考试内容。模拟测试涵盖了获得认证所需的关键领域，包括： 1. **数据管理解决方案**：深入了解Lakehouse架构，重点关注铜层/银层/金层、表和视图。探索约束和慢变维等基本数据建模概念。 2. **数据处理管道**：提高您使用Spark和Delta Lake API构建和优化ETL管道的技能。学习批处理、增量更新、数据去重和使用变更数据捕获（CDC）等技术。 3. **Databricks平台工具**：实际操作Databricks CLI和REST API，以部署工作流和管理生产管道，增强您对平台功能的理解。 4. **安全性和治理**：了解管理集群和作业权限的最佳实践，创建用户访问的动态视图，并确保符合GDPR和CCPA等数据保护法规。 5. **监控和优化**：掌握配置警报和存储解决方案，以有效监控生产作业、记录指标和调试问题的专业技能。 6. **代码管理**：学习管理、测试和部署代码的最佳实践，包括作业调度和编排技术。 通过本课程，您将为Databricks认证考试做好充分准备，提升实际操作能力，掌握所需技能。
Are you gearing up for the Databricks Certified Data Engineer Professional exam? This course is designed to provide you with comprehensive practice and in-depth understanding through two detailed practice tests. Each test comes with thorough explanations to help you master the exam content effectively.The practice tests encompass key areas crucial for the certification, including:Data Management Solutions: Dive into the Lakehouse architecture, focusing on bronze/silver/gold layers, tables, and views. Explore essential data modeling concepts like constraints and slowly changing dimensions.Data Processing Pipelines: Develop your skills in constructing and optimizing ETL pipelines using Spark and Delta Lake APIs. Learn techniques for batch processing, incremental updates, data deduplication, and utilizing Change Data Capture (CDC).Databricks Platform Tools: Get hands-on with Databricks CLI and REST API for deploying workflows and managing production pipelines, enhancing your understanding of the platform's capabilities.Security and Governance: Understand best practices for managing cluster and job permissions, creating dynamic views for user access, and ensuring compliance with data protection regulations such as GDPR and CCPA.Monitoring and Optimization: Gain expertise in configuring alerts and storage solutions to monitor production jobs, record metrics, and debug issues effectively.Code Management: Learn the best practices for managing, testing, and deploying code, including job scheduling and orchestration techniques.
