数据工程课程
数据工程课程可以帮助您学习数据建模、ETL（提取、转换、加载）流程和数据仓库技术。您可以掌握数据管道构建、数据库管理以及确保数据质量和完整性方面的技能。许多课程会介绍 Apache Spark、Hadoop 和 SQL 等工具，这些工具支持处理大型数据集和优化数据 Workflow。您还将探索 AWS 和 Azure 等云平台，这些平台可促进可扩展的数据解决方案，并提高您在各种环境中管理数据的能力。
热门数据工程课程和认证
状态：免费试用您将获得的技能: Model Deployment, Dataflow, Google Cloud Platform, Real Time Data, Apache Kafka, Data Import/Export, Data Pipelines, Data Lakes, PySpark, Tensorflow, Apache Airflow, Extract, Transform, Load, Apache Spark, Dashboard, Big Data, Data Transformation, Data Quality, Data Warehousing, Data Architecture, Feature Engineering
您将获得的技能: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation
状态：免费试用Google Cloud
您将获得的技能: 数据建模, 实时数据, 张力流, 机器学习, MLOps（机器学习 Operator）, 数据存储, 数据转换, 功能工程, Keras（神经网络库）, 数据管道, 数据预处理
状态：新Google Cloud
您将获得的技能: Data Sharing, Cloud Engineering, Data Pipelines, Data Migration, Google Cloud Platform, Data Infrastructure, Data Warehousing, Cloud Storage, Data Integration, Data Lakes, Data Processing, Extract, Transform, Load, Data Storage, Big Data, Command-Line Interface, Data Transformation, Automation
状态：预览IBM
您将获得的技能: 数据建模, 数据驱动的决策制定, 数据扫盲, 冲刺计划, 数据战略, 冲刺回顾, 流程改进, 数据转换, 业务重点, Data Governance, 数据管理, 数据整合, 数据质量, 分类学, 数据管道, 元数据管理
您将获得的技能: Data Pipelines, Cloud Storage, Data Infrastructure, Data Warehousing, Extract, Transform, Load, Data Integration, Data Processing, Data Migration, Data Lakes, Google Cloud Platform, Big Data, Data Storage Technologies, Cloud Services, Automation, Serverless Computing
状态：新您将获得的技能: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms
状态：免费试用Google Cloud
您将获得的技能: 数据架构, 数据建模, 数据基础设施, 数据湖, SQL, 数据存储, 数据仓库, 数据分析, Google 云端平台, 云存储, 云计算开发, 数据管道
状态：免费试用Google Cloud
您将获得的技能: 数据基础设施, 数据战略, 数据存储, 数据分析, 数据管理, 数据迁移, 自动化, 云存储, Google 云端平台, 数据维护, 数据处理, 数据管道, 云安全, 测试计划
状态：免费试用Whizlabs
您将获得的技能: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing
您将获得的技能: Google Cloud Platform, Data Pipelines, Data Migration, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Big Data, Data Processing, Data Lakes, Apache Airflow, Analytics, Data Storage, Data Transformation, Metadata Management, Apache Spark, Automation, Real Time Data, Serverless Computing
状态：新状态：免费试用您将获得的技能: AWS SageMaker, Amazon CloudWatch, AWS CloudFormation, Infrastructure as Code (IaC), CI/CD, Amazon Web Services, Devops Tools, AWS Identity and Access Management (IAM), Data Security, Cloud Security, Network Security, System Monitoring, Model Deployment, Systems Architecture, Data Pipelines, Multi-Factor Authentication, Key Management
总之，以下是 10 最受欢迎的 data engineering 课程
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
- Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
- 功能工程: Google Cloud
- Einführung in Data Engineering in Google Cloud: Google Cloud
- 数据运营方法: IBM
- Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
- Google BigQuery for Data and ML Engineers: Pearson
- 在 Google Cloud 上构建数据湖和数据仓库: Google Cloud
- 为您的专业数据工程师之旅做好准备: Google Cloud
- AWS: Data Analytics: Whizlabs
