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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cloudera-data-engineer-certification-exam/
课程评论：没有评论
课程名称：Cloudera数据工程师认证考试 课程概述：该课程旨在帮助您提升数据工程职业生涯，提供全面的场景驱动准备，帮助您掌握必要技能，信心十足地通过认证考试。 课程内容涵盖： 1. **Kubernetes上的Spark与数据框**：学习如何在Kubernetes上部署和扩展Spark作业，并使用数据框处理大规模数据集，同时与Hive无缝集成以实现分布式持久性。 2. **使用Airflow进行工作流编排**：构建稳健的ETL管道，使用DAG调度增量数据提取，并实施质量检查以确保可靠的自动化工作流。 3. **性能调优与查询优化**：深入了解Spark的内部机制，优化连接，合理使用缓存，设计分区和桶表，利用查询计划识别性能瓶颈。 4. **部署技术与Apache Iceberg**：通过CLI和API利用Cloudera的数据工程服务，管理Iceberg表格式，启用模式演变和时间旅行特性，并为现实生产场景做好准备。 适合人群： - 有志于获得Cloudera数据工程师认证的新手和在职数据工程师。 - 希望在Spark和Airflow中构建高效、可扩展管道的数据工程师与ETL专家。 - 探索Iceberg现代数据存储及在Kubernetes上分布式执行的工程师。 - 任何希望取得实际操作能力、掌握Cloudera平台以获得工作准备技能的人士。 课程优势： - 提供四套与真实考试场景相符的练习题。 - 含有实际操作的练习和可下载材料，便于实践应用。 - 逐步指导复杂工作流的完整过程，从实现到调优及部署。 - 清晰解释优化策略，帮助您构建高效、可维护的管道。
Cloudera Data Engineer Certification PrepElevate your data engineering career with this comprehensive, scenario-driven preparation course designed to help you master the essential skills and pass the certification exam with confidence.What This Course CoversSpark over Kubernetes & DataFrames: Learn how to deploy and scale Spark jobs on Kubernetes, process massive datasets using DataFrames, and integrate seamlessly with Hive for distributed persistence.Workflow Orchestration with Airflow: Build robust ETL pipelines using DAGs, schedule incremental data extractions, and implement quality checks for reliable, automated workflows.Performance Tuning & Query Optimization: Unlock Spark's inner workings-optimize joins, use caching effectively, design partitioned and bucketed tables, and leverage explain plans to identify bottlenecks.Deployment Techniques & Apache Iceberg: Utilize Cloudera's Data Engineering Service via CLI and APIs, manage Iceberg table formats with features like schema evolution and time travel, and prepare for real-world production scenarios.Who This Course Is ForAspiring and practicing Data Engineers aiming for the Cloudera Data Engineer certification.Data Engineers & ETL specialists looking to build performant, scalable pipelines in Spark and Airflow.Engineers exploring modern data storage with Iceberg and distributed execution on Kubernetes.Anyone wanting practical, hands-on mastery of Cloudera's platform for job-ready skills.Why This Course WorksFour laser-focused practice papers that mirror real exam scenarios.Hands-on exercises and downloadable materials for practical application.Step-by-step guidance through complex workflows-from implementation to tuning and deployment.Clear explanations of optimization strategies to help you build efficient, maintainable pipelines.
