ETL 课程
ETL 课程可以帮助您学习有效数据管理所必需的数据提取、Transformer 技术和加载流程。您可以掌握数据清理、管道自动化和优化数据工作流方面的技能。许多课程都会介绍 Apache NiFi、Talend 和 Microsoft SQL Server Integration Services 等工具，展示这些技术如何促进数据在不同系统间的移动和 Transformer。
热门 ETL 课程和认证
状态：免费试用LearnQuest
您将获得的技能: Teradata SQL, Exploratory Data Analysis, SQL, Data Modeling, Database Design, Database Administration, Database Architecture and Administration, Database Management, Database Management Systems, Data Store, JSON, Data Integration, Data Architecture, Advanced Analytics, Data Warehousing, Data Cleansing, Text Mining, Data Analysis, Business Intelligence, Data-Driven Decision-Making
Google Cloud
您将获得的技能: Data Import/Export, Extract, Transform, Load, Google Cloud Platform, Data Warehousing, Big Data, Database Design, Data Analysis
您将获得的技能: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL
状态：免费试用您将获得的技能: Dataflow, Apache Kafka, Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Real Time Data, Big Data, Data Processing, Query Languages, Serverless Computing, Scalability
状态：预览Google Cloud
您将获得的技能: Teradata SQL, SQL, Data Import/Export, Google Cloud Platform, Extract, Transform, Load, Data Warehousing, Data Migration, Big Data, Database Design, Cloud Computing Architecture, Data Modeling, Data Security
您将获得的技能: Data Manipulation, Data Processing, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Cloud Platform, Google Analytics
您将获得的技能: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Extract, Transform, Load, Data Analysis, Sampling (Statistics), Course Development
状态：免费试用您将获得的技能: AWS Kinesis, Real Time Data, Apache Spark, Apache Hive, Data Pipelines, Apache Hadoop, Data Processing, Extract, Transform, Load, Amazon Web Services, Serverless Computing, Data Lakes, Data Visualization, Amazon S3, Query Languages, Performance Tuning
状态：免费试用您将获得的技能: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Identity and Access Management, Cloud Security, Real Time Data, Data Infrastructure, Debugging, Google Cloud Platform, Data Processing, Data Integrity, CI/CD, Extract, Transform, Load, Performance Tuning, Maintainability, Pandas (Python Package), Cloud Storage, Data Transformation, SQL
Google Cloud
您将获得的技能: Amazon Redshift, SQL, Identity and Access Management, Query Languages, Google Cloud Platform, Database Design, Database Management, Data Import/Export, Extract, Transform, Load, Data Warehousing, Data Integration, Data Architecture, Data Modeling
状态：新状态：免费试用您将获得的技能: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
状态：新状态：免费试用您将获得的技能: Microsoft Power Platform, Data Analysis Expressions (DAX), Power BI, Microsoft Azure, Dashboard, Workflow Management, Data Integration, Cloud-Based Integration, Data Modeling, Multi-Tenant Cloud Environments, Enterprise Application Management, Data Visualization Software, Postman API Platform, Data Management, Serverless Computing
与 etl 相关的搜索
总之，以下是 10 最受欢迎的 etl 课程
- Data Analytics with Teradata: LearnQuest
- Loading Your Own Data into BigQuery: Google Cloud
- Introduction to Data Engineering on Google Cloud - Español: Google Cloud
- Building Resilient Streaming Analytics Systems on GCP en Français: Google Cloud
- BigQuery Fundamentals for Teradata Professionals: Google Cloud
- Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
- Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
- AWS Data Processing and Analysis: Packt
- Serverless Data Processing Dataflow em Português Brasileiro: Google Cloud
- BigQuery Fundamentals for Redshift Professionals: Google Cloud
