Data Infrastructure

Data Infrastructure 是由硬件、软件、网络和服务组成的基础系统,用于管理、存储和处理组织的数据。Coursera 的数据基础设施目录教您设计、实施和管理强大的数据系统。您将学习数据库架构、数据 Warehousing、Big Data 生态系统、Cloud Data 解决方案、数据安全和数据治理。培养处理 Hadoop、Spark 和 NoSQL 数据库等数据基础架构工具的技能,了解如何利用这些工具进行有效的数据管理和流程优化。这些知识将使您能够满足各行各业对数据基础设施专家日益增长的需求。
14凭据
44门课程

最受欢迎

当前趋势

最新发布

筛选依据

主题
必需的

语言
必需的

在整个课程(说明和评估)中使用的语言。

了解产品
必需的

通过已评分作业、视频和论坛向顶级授课教师学习。
在交互式实践环境中学习新工具或新技能。
通过完成一系列课程和项目,深入学习学科知识。
获得行业领导者颁发的职业证书,展示您学到的专业知识。

级别
必需的

课程长度
必需的

字幕
必需的

教师
必需的

“data infrastructure” 的结果

  • 状态:免费试用

    您将获得的技能: 数据分析, 数据伦理, 数据质量, 人工智能, 负责任的人工智能, 数据综合, 摘录, 数据基础设施, 数据挖掘, 数据架构, 数据管道, 生成式人工智能, 数据库设计, 数据仓库, Query 语言

  • 状态:免费试用

    Johns Hopkins University

    您将获得的技能: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, Performance Tuning

  • 状态:免费试用

    您将获得的技能: Data Maintenance, Google Cloud Platform, Data Pipelines, Data Storage, Data Analysis, Data Processing, Data Infrastructure, Cloud Storage, Data Management, Automation, Data Security

  • 状态:新
    状态:免费试用

    您将获得的技能: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, Data Presentation, DevOps, Data Integration, Data Infrastructure, Cloud Development, SQL, Data Processing, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

  • 状态:免费试用

    您将获得的技能: Data Engineering, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Presentation, Data Integration, Data Infrastructure, Data Warehousing, Data Processing, Data Import/Export, Stored Procedure, SQL, Data Analysis, Command-Line Interface

  • 状态:免费试用

    您将获得的技能: Site Reliability Engineering, Google Cloud Platform, Kubernetes, Real Time Data, Big Data, Data Infrastructure, CI/CD, Performance Tuning, Data Pipelines, Databases, Containerization, Data Processing, DevOps, Scalability, Cloud Storage, System Monitoring

  • 状态:免费试用

    您将获得的技能: Data Lakes, Google Cloud Platform, Cloud Engineering, Data Pipelines, Data Warehousing, Data Infrastructure, Cloud Storage, Data Architecture, Big Data, Scalability, SQL

  • 状态:免费试用

    您将获得的技能: Dataflow, Google Cloud Platform, Data Pipelines, Data Processing, Real Time Data, Systems Design, Cloud Engineering, Ad Hoc Analysis, Data Lakes, Data Infrastructure, Big Data, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Cloud Storage, Data Modeling, Applied Machine Learning, Data Storage, Looker (Software), Analytics

  • 状态:预览

    您将获得的技能: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

  • 状态:免费试用

    您将获得的技能: Linux, Cloud-Native Computing, Network Security, Linux Administration, Cloud Computing, Amazon Web Services, Infrastructure as Code (IaC), Cloud Computing Architecture, Network Troubleshooting, Operating System Administration, Cloud Storage, Linux Commands, Software-Defined Networking, User Accounts, Cloud Infrastructure, Network Monitoring, Command-Line Interface, Threat Modeling, Cloud Services, Data Infrastructure

  • 状态:免费试用

    您将获得的技能: Cloud Engineering, Data Lakes, Google Cloud Platform, Data Infrastructure, Data Warehousing, Cloud Storage, Data Storage, Data Storage Technologies, Data Management, SQL, Scalability

  • 状态:免费试用

    您将获得的技能: Google Cloud Platform, Data Lakes, Data Warehousing, Data Pipelines, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Architecture, Data Processing, Business Intelligence, Data Transformation, Data Analysis, SQL

是什么让您今天来到 Coursera?

主要合作伙伴

  • Google Cloud
  • IBM
  • Packt
  • Illinois Tech
  • Amazon Web Services
  • Johns Hopkins University
  • LearnKartS
  • SkillUp