Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engr 专业证书

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Google Cloud

Preparing for Google Cloud Certification: Cloud Data Engr 专业证书

Advance your career in data engineering

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4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

  • Employ BigQuery to carry out interactive data analysis.

  • Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.

  • Choose between different data processing products on Google Cloud.

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授课语言:英语(English)
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October 2025

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专业认证 - 5门课程系列

您将学到什么

  • Differentiate between data lakes and data warehouses.

  • Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.

  • Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.

  • Examine why data engineering should be done in a cloud environment.

您将获得的技能

类别:Data Warehousing
类别:Google Cloud Platform
类别:Cloud Storage
类别:Data Lakes
类别:Big Data
类别:Data Processing
类别:Advanced Analytics
类别:Analytics
类别:Data Management
类别:Data Governance
类别:Data Infrastructure
类别:Metadata Management
类别:Data Integration
类别:Data Architecture

您将学到什么

  • Determine whether batch data pipelines are the correct choice for your business use case.

  • Design and build scalable batch data pipelines for high-volume ingestion and transformation.

  • Implement data quality controls within batch pipelines to ensure data integrity.

  • Orchestrate, manage, and monitor batch data pipeline workflows, implementing error handling and observability using logging and monitoring tools.

您将获得的技能

类别:Data Pipelines
类别:Google Cloud Platform
类别:Data Transformation
类别:Apache Spark
类别:Data Processing
类别:Dataflow
类别:Apache Hadoop
类别:Extract, Transform, Load
类别:Big Data
类别:Data Migration
类别:Data Integration

您将学到什么

  • Ingest and manage streaming data using Pub/Sub and Managed Service for Apache Kafka

  • Build and deploy streaming data pipelines with Dataflow

  • Implement streaming data solutions for real-time analytics and application serving with BigQuery and Bigtable

您将获得的技能

类别:Google Cloud Platform
类别:Cloud Services
类别:Big Data
类别:Data Processing
类别:Extract, Transform, Load
类别:Apache Kafka
类别:Data Architecture
类别:Applied Machine Learning
类别:Data Transformation
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Data Pipelines
类别:Real Time Data

您将学到什么

  • Differentiate between ML, AI and deep learning.

  • Discuss the use of ML API’s on unstructured data.

  • Execute BigQuery commands from notebooks.

  • Create ML models by using SQL syntax in BigQuery and without coding using Vertex AI AutoML.

您将获得的技能

类别:Google Cloud Platform
类别:Applied Machine Learning
类别:Machine Learning
类别:Jupyter
类别:Unstructured Data
类别:Data Pipelines
类别:Artificial Intelligence
类别:Tensorflow
类别:Big Data
类别:MLOps (Machine Learning Operations)

您将学到什么

  • List the domains covered on the Professional Data Engineer (PDE) certification exam.

  • Identify gaps in your knowledge and skills for each domain.

您将获得的技能

类别:Data Storage
类别:Data Processing
类别:Google Cloud Platform
类别:Data Analysis
类别:Data Security
类别:Data Pipelines
类别:Data Migration
类别:Data Warehousing
类别:Automation
类别:Data Maintenance
类别:Data Infrastructure
类别:Test Planning

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