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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-engineer-associate-2025/
课程评论：没有评论
课程名称：Databricks认证数据工程师助理2025 课程概述：这门课程旨在准备学生通过Databricks认证数据工程师助理考试。考试评估个人使用Databricks Lakehouse平台完成基础数据工程任务的能力，包括对Lakehouse平台及其工作区、架构和功能的理解。课程内容涵盖使用Apache Spark™ SQL和Python执行多跳架构的ETL任务，并能在批处理和增量处理中应用。此外，还特意设置了将基本ETL管道和Databricks SQL查询及仪表板投入生产的能力评估。 考试内容包括： - Databricks Lakehouse平台 - 24% - 使用Spark SQL和Python的ELT - 29% - 增量数据处理 - 22% - 生产管道 - 16% - 数据治理 - 9% 学习数据工程的基础知识，包括：数据清理和转换、湖仓架构、Spark SQL与Python、批量和流数据处理以及数据治理等。 课程适合： - 希望验证技能的数据工程师 - 希望学习数据工程的数据分析师 - 希望转向数据工程领域的IT专业人员 - 任何想要了解Databricks Lakehouse平台的人 课程要求： - 基础数据科学和分析知识 - 熟悉Python或Scala等编程语言 - 有可上网的电脑 学习成果： - 理解Databricks Lakehouse平台及其能力 - 使用Spark SQL和Python进行数据清理和转换 - 建立批量和流数据管道 - 实施数据治理最佳实践 - 准备Databricks认证数据工程师助理考试 课程优势： - 从经验丰富的Databricks讲师那里学习 - 应用实践经验 - 获得完成课程证明 这门自学进度的课程可以让学生随时随地学习，由经验丰富的Databricks讲师授课，课程结束后将颁发完成证书。通过针对考试的重点准备、实际操作学习和行业专家的指导，帮助学员掌握实用技能，提升职业前景并成为认证数据工程师。 立即报名，开启您的数据工程师之旅！
Databricks Certified Data Engineer AssociateThe Databricks Certified Data Engineer Associate certification exam assesses an individual's ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark™ SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester's ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.The exam covers:Databricks Lakehouse Platform - 24%ELT With Spark SQL and Python - 29%Incremental Data Processing - 22%Production Pipelines - 16%Data Governance - 9%Become a data engineering expert and ace the Databricks Certified Data Engineer Associate exam with this comprehensive Udemy course.Learn the fundamentals of data engineering:Data wrangling and transformationData lakehouse architectureSpark SQL and PythonBatch and streaming data processingProduction pipelinesData governanceAnd more!Prepare for the Databricks Certified Data Engineer Associate exam:Gain the skills and knowledge you need to pass the examPractice with hands-on exercises and quizzesLearn from experienced Databricks instructorsThis course is ideal for:Data engineers who want to validate their skillsData analysts who want to learn data engineeringIT professionals who want to move into a data engineering roleAnyone who wants to learn about the Databricks Lakehouse PlatformCourse Requirements:Basic understanding of data science and analyticsExperience with programming languages such as Python or ScalaAccess to a computer with internet connectionWhat you will learn:Understand the Databricks Lakehouse Platform and its capabilitiesUse Spark SQL and Python to wrangle and transform dataBuild batch and streaming data pipelinesImplement data governance best practicesPrepare for the Databricks Certified Data Engineer Associate examCourse Benefits:Learn from experienced Databricks instructorsGet hands-on experience with the Databricks Lakehouse PlatformPrepare for the Databricks Certified Data Engineer Associate examGain the skills and knowledge you need to become a data engineering expertEnroll today and start your journey to becoming a Databricks Certified Data Engineer Associate!Here are some additional details that you may want to include in your course description:The course is self-paced and can be completed at your own pace.The course is taught by experienced Databricks instructors who are experts in data engineering.Upon completion of the course, you will receive a certificate of completion.Dive Deep into Data Engineering Essentials:Data Wrangling & Transformation: Clean, manipulate, and prepare data for analysis using robust techniques.Lakehouse Architecture: Grasp the core concepts behind modern data lakehouse architecture and its advantages.Spark SQL & Python Mastery: Leverage the power of Spark SQL and Python for efficient data processing and analysis.Batch & Streaming Pipelines: Design and build production-ready pipelines for both batch and real-time data processing.Data Governance Best Practices: Learn how to implement robust data governance strategies for secure and reliable data management.And More: Explore essential topics like Delta Lake, Databricks notebooks, clusters, and cost optimization.Ready to Conquer the Certification Exam?Targeted Exam Preparation: Focus on key areas assessed in the Databricks Certified Data Engineer Associate exam.Hands-on Learning: Sharpen your skills through practical exercises, real-world case studies, and challenging quizzes.Expert-Led Instruction: Gain insights from experienced Databricks instructors and industry professionals.Who Should Take This Course?Aspiring Data Engineers: Build a solid foundation and launch your data engineering career.Data Analysts: Elevate your skillset and transition into data engineering roles.IT Professionals: Expand your expertise and contribute to data-driven initiatives.Anyone: Eager to explore the Databricks Lakehouse Platform and unlock its potential.Prerequisites:Basic understanding of data science and analytics concepts.Familiarity with programming languages like Python or Scala (preferred).Access to a computer with internet connection.Benefits You Can't Ignore:Become a Certified Data Engineer: Elevate your resume and stand out in the competitive job market.Master Practical Skills: Solve real-world data challenges effectively with in-demand skills.Future-Proof Your Career: Stay ahead of the curve in the ever-evolving field of data engineering.Join a Supportive Community: Connect with fellow learners and instructors for continuous growth.Enroll Today and Unlock Your Data Engineering Potential!
