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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-cloud-professional-data-engineer-gcp-pde-mock-tests/
课程评论：没有评论
课程名称：Google Cloud专业数据工程师 - GCP PDE模拟测试 课程概述：本课程旨在为您提供在Google Cloud Platform (GCP)上数据工程的基本技能。通过实践实验和真实场景，您将学习如何设计、实施和自动化高效、可扩展且可靠的数据管道。课程内容涵盖数据工程的核心GCP服务，包括用于流数据摄取的Cloud Pub/Sub、用于数据转换的Cloud Dataflow、用于高级分析的BigQuery，以及用于编排和工作流自动化的Cloud Composer。 您将首先掌握批处理和流处理数据的摄取技术，随后学习如何使用GCP的最佳实践进行数据转换和存储优化。此外，您还将学习如何监控和自动化数据工作流，以确保数据的质量、完整性和运营效率。课程结束时，您将能够设计针对特定业务需求的端到端数据管道，为分析和机器学习准备数据，并以最小维护管理这些过程。 本课程非常适合希望深化在Google Cloud上的数据工程与自动化专业技能的数据专业人士、云工程师和IT专家。无论您是准备Google专业数据工程师认证，还是希望提升先进的数据工程技能，本课程都提供了成功所需的实践经验。
This course is designed to equip you with essential skills in data engineering on Google Cloud Platform (GCP). Through hands-on labs and real-world scenarios, you'll learn how to design, implement, and automate data pipelines that are efficient, scalable, and reliable. We'll cover core GCP services for data engineering, including Cloud Pub/Sub for streaming data ingestion, Cloud Dataflow for data transformation, BigQuery for advanced analytics, and Cloud Composer for orchestration and workflow automation.You'll start by mastering data ingestion techniques for both batch and streaming data, then move on to data transformation and storage optimization using GCP's best practices. Additionally, you'll learn how to monitor and automate your data workflows, ensuring data quality, integrity, and operational efficiency. By the end of the course, you'll be able to design end-to-end data pipelines tailored to specific business needs, prepare data for analytics and machine learning, and manage these processes with minimal maintenance.This course is ideal for data professionals, cloud engineers, and IT specialists looking to deepen their expertise in data engineering and automation on Google Cloud. Whether you're preparing for the Google Professional Data Engineer Certification or aiming to build advanced data engineering skills, this course provides the practical experience needed to succeed.
