Data Lake 课程
Data Lake 课程可以帮助您学习数据摄取、存储管理、数据处理和解析技术。您可以掌握数据治理、模式设计和优化查询性能方面的技能。许多课程会介绍 Apache Hadoop、Amazon S3 和 Apache Spark 等工具，演示这些技术如何支持高效的数据处理和分析。您还将探索数据架构、ETL 流程和数据安全等关键主题，掌握有效管理大型数据集的实用知识。
热门 Data Lake 课程和认证
您将获得的技能: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Configuration Management, Enterprise Security
Google Cloud
您将获得的技能: 数据管理, NoSQL, 数据存储, Data Management, 应用编程接口 (API), 数据基础设施, 查询语言, 元数据管理, 数据仓库, 数据库管理, Data Governance, 数据访问, 数据质量, 数据处理, Google Cloud 平台, 云存储, 数据整合, 数据存储技术, 星形模式, 数据湖, 数据架构
Microsoft
您将获得的技能: 数据库理论, 数据库, 数据可视化, 大数据, 数据库系统, 分析, 数据仓库, Apache Spark, 摘录, 云存储, 数据存储, Databricks, Power BI, 数据可视化软件, 数据整合, Microsoft Azure, 微软 Azure, 云服务, 数据架构, Azure 突触分析, 仪表板创建
IBM
您将获得的技能: 查询语言, 数据分析, 数据存储, Python 编程, 数据库开发, 数据库, 数据库系统, 数据管道, 数据库设计, 大数据, 单元测试, 数据库管理, 摘录, 关系数据库, 数据存储技术, IBM DB2, 网络抓取, NumPy, 数据架构
您将获得的技能: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Data Validation, Data Mart, Business Process, Data Integration, Data Management, Data Quality, Data Transformation, Performance Testing
您将获得的技能: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Cloud Infrastructure, Data Modeling, Database Design, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
您将获得的技能: Data Lakes, File Management, Microsoft Azure, Azure Synapse Analytics, Information Management, Data Management, Databricks, Data Storage Technologies, Data Security
您将获得的技能: Databricks, Data Lakes, Data Transformation, Data Quality, Data Infrastructure, Data Governance, Data Pipelines, Real Time Data, Data Architecture, Data Management, Terraform, Data Maintenance, Data Validation, Apache Spark, Data Access, Data Integrity, Data Storage, Cloud Computing, Scalability, Data Security
Whizlabs
您将获得的技能: Data Governance, Extract, Transform, Load, Data Access, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Pipelines, Data Lakes, Amazon Web Services, Amazon Redshift, Data Security, Personally Identifiable Information, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR), Data Capture, Fraud detection
University at Buffalo
您将获得的技能: 数据驱动决策, Tableau 软件, 业务流程改进, 数据收集, 提高绩效, 数据故事, 统计过程控制, 数据展示, 分析, 业务流程, 流程制图, 精益方法, 根源分析, 数据可视化软件, 商业分析, 数据扫盲, 数据伦理, 流程改进, 数据分析软件, 改进和优化流程
您将获得的技能: Data Lakes, Microsoft Azure, Stored Procedure, Data Architecture, Performance Tuning, Data Management, Query Languages, Data Manipulation, Scripting, SQL, Data Processing, Windows PowerShell, Microsoft Visual Studio, Command-Line Interface, Heat Maps
总之，以下是 10 最受欢迎的 data lakes 课程
- Building Automated Data Pipelines with Spark,dbt,and Airflow: Coursera
- 云中的数据管理和存储: Google Cloud
- Build & Analyze Your Data Lakehouse: Coursera
- Microsoft Azure 中的现代数据仓库分析: Microsoft
- 数据工程基础: IBM
- The Path to Insights: Data Models and Pipelines: Google
- Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera
- Introducción a los Data Lakes con Azure: Coursera
- Building Modern Data Applications Using Databricks Lakehouse: Packt
- Data Governance with Databricks: Whizlabs
