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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-cloud-professional-data-engineer-mock-tests/
课程评论：没有评论
课程名称：Google Cloud专业数据工程师模拟考试 课程概述：本课程旨在帮助您掌握在Google Cloud Platform (GCP)上进行数据工程所需的核心技能。通过动手实验和真实场景，您将学习如何设计、实施和自动化高效、可扩展和可靠的数据管道。我们将覆盖数据工程的核心GCP服务，包括Cloud Pub/Sub（用于流数据摄取）、Cloud Dataflow（用于数据转换）、BigQuery（用于高级分析）以及Cloud Composer（用于编排和工作流自动化）。 您将从掌握批量和流数据的数据摄取技术开始，接着学习如何使用GCP的最佳实践进行数据转换和存储优化。此外，您将了解如何监视和自动化数据工作流，以确保数据质量、完整性和操作效率。在课程结束时，您将能够设计符合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，并以最低的维护管理这些过程。 本课程非常适合希望深化在Google Cloud上数据工程和自动化方面专业知识的数据专业人员、云工程师及IT专家。无论您是在为Google专业数据工程师认证做准备，还是希望建立先进的数据工程技能，本课程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.
