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所在平台: Udemy |
课程主页: https://www.udemy.com/course/snowflake-101-build-design-data-pipelines-on-aws-cloud/
课程评论：没有评论
课程名称：Snowflake 101 - 在 AWS 云上构建和设计数据管道 概述：本课程为您提供了一个完整的 Cloud 数据仓库学习之旅，结合了 Snowflake 和 AWS 这两个行业领先的解决方案，旨在帮助您成功理解云数据仓库的核心内容和主题。Snowflake 以其卓越的性能、简单性和多功能性而闻名，而 AWS 则提供了一套强大且安全的云基础设施，支持多种服务。 课程内容：本课程以实践为基础，帮助您熟悉 Snowflake 的核心功能，并通过与 AWS 的连接进行实操练习。您将通过约 20 个实验室，掌握 Snowflake 的架构及其如何在云中变革数据仓库。课程将探讨 Snowflake 与 AWS 服务（如 Amazon S3 和 Glue）的无缝集成，为数据管理和分析提供无限可能。 适合人群：本课程适合负责设计、构建和维护云中数据管道和数据仓库的数据工程师。此外，数据分析师可以通过学习云工具提升数据操作和分析技能，而 IT 专业人员和云架构师则能了解使用 Snowflake 和 AWS 实现云数据仓库的原则、架构和实施。 课程要求： - 熟悉 SQL 或任一语言的查询编写基础知识 - 会使用 Python（或其他编程语言）进行脚本编写 - 愿意探索、学习并付出额外努力以取得成功 - 拥有一个活跃的 AWS 账户及基本的云基础知识 学习内容： - 准备 Snowpro 高级数据工程认证所需的全部知识 - 了解 Snowflake 作为数据仓库及 Snowflake 生态系统内的自动化管道 - 在 Snowflake 中使用 AWS 云作为数据仓库 - 实时流数据与 Kafka 和 Snowflake 的集成 总体而言，本课程非常适合软件工程师、希望成为数据工程师的数据分析师及数据科学家，同时也适合具有 SQL 查询编写经验的程序员和数据库管理员。
Get ready for Cloud Data Warehousing with Snowflake and AWS complete course. Gain familiarity with the course details and topics designed to help you succeed.This comprehensive course is designed to take you on a journey through the powerful combination of Snowflake and Amazon Web Services (AWS), two industry-leading solutions that together offer a cutting-edge cloud data warehousing platform. Snowflake is renowned for its performance, simplicity, and versatility, while AWS provides a robust and secure cloud infrastructure that supports an array of services.Learn about Snowflake on AWS with Hands-On LabsThe Cloud Data Warehousing with Snowflake and AWS is a hands-on practice course designed to familiarize you with the core functionality of Snowflake by connecting it with AWS. Through hands-on exercises, you'll gain a thorough understanding of Snowflake's architecture and how it revolutionizes data warehousing in the cloud. You'll explore the seamless integration of Snowflake with AWS services, such as Amazon S3 and Glue, unlocking a world of possibilities for managing and analyzing your data.The course comprises approximately 20 labs starting from the basics and moving to high levels in terms of complexity.Who should take this course?The course is intended for Data engineers responsible for designing, building, and maintaining data pipelines and data warehouses in the cloud. They will learn how to leverage Snowflake and AWS to create scalable and performant data warehousing solutions. Data analysts seeking to enhance their data manipulation and analytics skills using cloud-based tools will find value in this course. They will learn how to work with Snowflake and AWS services to query, transform, and analyze data effectively. IT professionals and cloud architects interested in understanding cloud data warehousing principles, architecture, and implementation using Snowflake and AWS will find this course beneficial.RequirementsBasic knowledge of SQL or writing queries in any languageScripting in Python (or any language )Willingness to explore, learn and put in the extra effort to succeedAn active AWS Account & know-how of basic cloud fundamentalsWho this course is for:Software engineers, aspiring data engineers, or data analysts & data scientistsAlso good for programmers and database administrators with experience in writing SQL queriesWhat you'll learnEverything needed for Snowpro Advanced Data Engineering certificationSnowflake as a data-warehouse & automated pipeline within Snowflake ecosystemUse AWS Cloud with Snowflake as a data-warehouseIntegrating real-time streaming data with Kafka and SnowflakeAre there any course requirements or prerequisites?Prior programming experience in SQL and Python is a must.Prior basic experience or understanding of cloud services like AWS is importantWho this course is for:Software engineers, aspiring data engineers, or data analysts & data scientistsAlso good for programmers and database administrators with experience in writing SQL queries
