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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-data-engineering-on-gcpcomplete-course-with-qcm/
课程评论：没有评论
课程名称：在GCP上掌握数据工程：完整课程与QCM 课程概述：通过我们的综合数据工程课程，释放您的潜力。该课程精心设计，旨在为您提供在数据工程这一动态领域中脱颖而出的技能和知识。 您将学习的内容： - 数据工程基础：深入了解数据生命周期，理解数据仓库的必要性，区分数据工程师和数据科学家。掌握ETL与ELT的基础概念，探索大数据的细微差别。 - 利用GCP处理大数据：获取Google Cloud Platform的实操经验。学习如何设置和导航GCP，管理服务和配额，创建您的第一个GCP项目。理解BigQuery、Cloud Storage以及GCP无服务器产品等关键服务。 - 构建和管理数据解决方案：在BigQuery中开发一个强大的数据仓库，借助Cloud Composer组织批量数据加载，使用Dataproc构建可扩展的数据湖。掌握数据处理、作业执行和Spark ETL流程的实用技能。 - 处理和可视化数据：掌握使用Pub/Sub和Dataflow进行流数据处理的技术。创建和管理实时数据管道，利用Data Studio高效可视化数据，轻松做出数据驱动的决策。 - 实施机器学习：探索GCP上的机器学习解决方案。实践训练模型、创建批量预测，并利用AutoML和Vertex AI部署和管理机器学习工作流程。 - 高级GCP策略：学习如何架构优质数据管道的用户和项目管理策略。理解IAM、用于基础设施即代码的Terraform，并利用分区和集群表优化GCP解决方案的成本。 本课程不仅深入探讨数据工程的实际应用，并且是通过面试的战略指南。无论您是希望开启数据工程职业生涯，还是提升现有技能，本课程将为您提供成功所需的工具、技术和信心。
Unlock your potential with our comprehensive Data Engineering on GCP course, meticulously designed to provide you with the skills and knowledge required to excel in the dynamic field of data engineering.What You'll Learn:Fundamentals of Data Engineering: Dive into the data life cycle, understand the necessity of data warehouses, and differentiate between data engineers and data scientists. Master foundational concepts including ETL vs. ELT and explore the nuances of big data.Harnessing GCP for Big Data: Get hands-on experience with Google Cloud Platform. Learn to set up and navigate GCP, manage services and quotas, and create your first GCP project. Understand key services like BigQuery, Cloud Storage, and GCP's serverless offerings.Building and Managing Data Solutions: Develop a robust data warehouse in BigQuery, orchestrate batch data loading with Cloud Composer, and construct a scalable data lake using Dataproc. Gain practical skills in data handling, job execution, and Spark ETL processes.Processing and Visualizing Data: Master the techniques for streaming data using Pub/Sub and Dataflow. Create and manage real-time data pipelines, and utilize Data Studio to visualize data effectively, making data-driven decisions with ease.Implementing Machine Learning: Explore machine learning solutions on GCP. Practice training models, creating batch predictions, and leveraging AutoML and Vertex AI for deploying and managing ML workflows.Advanced GCP Strategies: Learn to architect top-notch data pipelines with user and project management strategies. Understand IAM, Terraform for Infrastructure as Code, and optimize costs for GCP solutions using partitioned and clustered tables.This course is not only a deep dive into data engineering with practical, real-world applications but also a strategic guide for acing job interviews. Whether you're looking to start a career in data engineering or enhance your existing skills, this course provides the tools, techniques, and confidence you need to succeed.
