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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineering-with-snowflake-and-aws/
课程评论：没有评论
课程名称：使用Snowflake和AWS进行数据工程 课程概述： 本课程是针对数据工程师设计的全面Snowflake课程，旨在提升学员在云中高效、可扩展地管理数据的能力。参与者将通过动手实践，从基础知识学习到Snowflake平台的高级概念。该平台提供了现代化的完全管理的数据仓库架构。 使用Snowflake进行数据工程的优势包括： - **弹性可扩展性**：Snowflake的云数据存储架构使资源能够按需轻松扩展，以高效处理可变的工作负载，并确保无论数据量如何都能保持一致的性能。 - **简化数据共享**：Snowflake提供了一种独特的方法来跨部门和团队共享数据。通过安全和受控的数据共享概念，数据工程师可以创建一个单一的数据源，从而促进高效协作和一致的数据分析。 - **与分析工具的无缝集成**：Snowflake被设计为能够与各种数据分析工具无缝集成，允许数据工程师创建完整的生态系统，以进行高级数据分析。与标准SQL的兼容性使得迁移至该平台变得简单，而与流行工具如Tableau和Power BI的互操作性拓宽了数据可视化和探索的选择。 在本课程中，我们将学习： - Snowflake基础知识 - 平台架构 - 虚拟仓库 - 集群 - 处理半结构化数据 - Snowflake与AWS的集成 - 使用Stages、Storage Integration和Snowpipes - 使用AWS S3、SQS、IAM - 凭借近实时的自动数据摄取 通过本课程，学员将掌握使用Snowflake和AWS进行高效数据工程的核心技能。
Snowflake course for data engineersThis comprehensive Snowflake course is designed for data engineers who want to improve their ability to efficiently and scalably manage data in the cloud. With a hands-on focus, participants will be guided from the basics to advanced concepts of the Snowflake platform, which provides a modern and fully managed data warehouse architecture.Benefits of using Snowflake for data engineering: Elastic scalability: one of the key benefits of Snowflake is its cloud data storage architecture, which allows for elastic scalability. This means that data engineers can easily scale resources on demand to efficiently handle variable workloads and ensure consistent performance regardless of data volume.Simplified data sharing: Snowflake offers a unique approach to sharing data across departments and teams. Using the concept of secure and controlled data sharing, data engineers can create a single data source that promotes efficient collaboration and consistent data analysis across the organisation.Seamless integration with analytics tools: Snowflake is designed to integrate seamlessly with a variety of data analytics tools, allowing data engineers to create complete ecosystems for advanced data analysis. Compatibility with standard SQL makes it easy to migrate to the platform, while interoperability with popular tools such as Tableau and Power BI expands options for data visualisation and exploration.In this course we deal with:Snowflake basicsPlatform architectureVirtual warehouses - the clustersWorking with semi-structured dataIntegrating Snowflake with AWSUsing Stages, Storage Integration, and SnowpipesUsing AWS S3, SQS, IAMAutomatic ingestion of data in near real time
