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
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：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
您将获得的技能: Data Processing, Metadata Management, Cloud Storage, Google Cloud Platform, Data Pipelines, Data Migration, Big Data, Data Storage, Extract, Transform, Load, Data Infrastructure, Cloud Services, Data Management, Automation, Data Transformation, Real Time Data, Serverless Computing
您将获得的技能: Data Pipelines, Data Migration, Google Cloud Platform, Cloud Storage, Data Lakes, Extract, Transform, Load, Big Data, Command-Line Interface, Data Infrastructure, Cloud Solutions, Data Warehousing, Data Storage, Data Transformation, Metadata Management, Automation, Serverless Computing
您将获得的技能: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Transformation, Apache Spark, Serverless Computing
您将获得的技能: Metadata Management, Extract, Transform, Load, Data Migration, Google Cloud Platform, Data Pipelines, Data Import/Export, Apache Airflow, Data Infrastructure, Data Sharing, Data Processing, Data Integration, Cloud Storage, Data Storage, Apache Spark, Real Time Data, Serverless Computing
- 状态：预览
您将获得的技能: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Data Pipelines, Big Data, Data Warehousing, Data Integration, Data Storage, SQL, Automation
Northeastern University
您将获得的技能: Data Storytelling, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Extract, Transform, Load, Database Management, Database Systems, Time Series Analysis and Forecasting, Natural Language Processing
状态：免费试用Google Cloud
您将获得的技能: SQL, 数据分析, 数据基础设施, 数据管道, 云存储, 数据存储, 数据建模, 数据架构, 数据仓库, 数据湖, Google 云端平台, 云计算开发
状态：免费试用Microsoft
您将获得的技能: 数据安全, 数据架构, 分析, 基于角色的访问控制（RBAC）, 应用程序开发, 数据管理, Data Management, 数据存储, 微软 Azure, 云存储, 数据存储技术, 云应用, 云安全
状态：预览您将获得的技能: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: Sampling (Statistics), Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Correlation Analysis, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Analysis, Estimation, R (Software), Data Visualization, Risk Analysis, Probability, Statistical Methods, R Programming, Return On Investment, Probability & Statistics, Problem Solving
与 data engineering 相关的搜索
总之，以下是 10 最受欢迎的 data engineering 课程
- Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
- Einführung in Data Engineering in Google Cloud: Google Cloud
- Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
- Introduction to Data Engineering on Google Cloud - Bahasa Indonesia: Google Cloud
- Introduction to Data Engineering on Google Cloud - Français: Google Cloud
- Introduction to Data Engineering on Google Cloud - 한국어: Google Cloud
- Introduction to Data Engineering on Google Cloud - 繁體中文: Google Cloud
- Master of Science in Data Analytics Engineering: Northeastern University
- 在 Google Cloud 上构建数据湖和数据仓库: Google Cloud
- 面向准开发人员的 Microsoft Azure 数据存储: Microsoft
