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Snowflake
您将获得的技能: SQL, 数据管道, 数据操作, LLM 申请, 数据科学, 数据存储, 生成式人工智能, 人工智能和机器学习（AI/ML）, 应用程序开发, 基于角色的访问控制（RBAC）, 机器学习, 数据仓库, 数据湖, 数据库管理, 云计算开发, 数据工程, 摘录, 存储过程
状态：新状态：免费试用您将获得的技能: Extract, Transform, Load, Metadata Management, Data Integration, Data Pipelines, Databases, Business Logic, Java, Data Warehousing, File Management, Data Cleansing, Data Import/Export, Data Migration, Data Manipulation, Scalability, Data Transformation, Software Documentation, Software Installation, Data Processing, MySQL, Debugging
状态：预览您将获得的技能: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Architecture, Cloud Engineering, Cloud Storage, Google Cloud Platform, Data Storage, Big Data, Data Storage Technologies, Data Processing, Database Design, SQL
状态：预览Whizlabs
您将获得的技能: Data Governance, Extract, Transform, Load, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Pipelines, Data Lakes, Amazon Web Services, Amazon Redshift, Data Architecture, Data Security, Personally Identifiable Information, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR), Fraud detection
状态：免费试用Google Cloud
您将获得的技能: 数据管道, Google 云端平台, 数据处理, 无服务器计算, 集装箱化, 数据流, 云存储, 数据安全, 数据存储技术, 身份和访问管理, 云安全
状态：免费试用您将获得的技能: Google Cloud Platform, Data Pipelines, Cloud Engineering, Data Lakes, Data Infrastructure, Data Warehousing, Cloud Storage, Data Storage, Data Storage Technologies, Cloud Development, Data Processing, Scalability
状态：新状态：免费试用您将获得的技能: Apache Hive, Apache Hadoop, Data Warehousing, SQL, Performance Tuning, Databases, Query Languages, Database Management, Extensible Markup Language (XML), Data Processing, Data Transformation, Data Manipulation
状态：免费试用您将获得的技能: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming
状态：免费试用您将获得的技能: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Processing, Distributed Computing, Data Analysis Expressions (DAX), Data Integration, Data Transformation, SQL, Data Manipulation, Data Cleansing
状态：新状态：免费试用您将获得的技能: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming
状态：新状态：免费试用您将获得的技能: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Programming Principles, Python Programming, Debugging
状态：新状态：免费试用您将获得的技能: Apache Spark, Scala Programming, Apache Hadoop, Apache Maven, Real Time Data, Data Processing, Scalability, Data Structures, Object Oriented Programming (OOP), Systems Integration
与 data engineering 相关的搜索
总之，以下是 10 最受欢迎的 data engineering 课程
- 面向开发人员、数据科学家和数据工程师的 Snowflake 简介: Snowflake
- Talend Data Integration & ETL Workflow Mastery: EDUCBA
- Modernizing Data Lakes & Data Warehouses with GC - Italiano: Google Cloud
- Data Governance with Databricks: Whizlabs
- 使用数据流的无服务器数据处理：基础: Google Cloud
- Como criar data lakes e data warehouses no Google Cloud: Google Cloud
- Apache Hive: Design, Query & Optimize Big Data: EDUCBA
- AI Workflow: Business Priorities and Data Ingestion: IBM
- PySpark in Action: Hands-On Data Processing: Edureka
- Spark and Python for Big Data with PySpark: EDUCBA
