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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-warehousing-snowflake-aws-cloud/
课程评论：没有评论
课程名称：Snowflake - 使用AWS构建和架构数据管道 概述：截至2023年2月，本课程进行了更新，新增了Snowpark API，涵盖了用户定义函数（UDFs）、存储过程用于ETL，并且涉及机器学习用例的部署。本课程将帮助您通过SnowPro高级认证。Snowflake正在成为一个完整的数据生态系统，凭借其在处理大规模数据方面的可扩展性和效率，现在正是学习Snowflake，将其加入您的工具箱的最佳时机。本课程不仅覆盖了Snowflake的核心功能，还教您如何在AWS Glue和Airflow中部署Python/Pyspark作业，与Snowflake进行交互，这也是构建数据管道的重要方面。只要您对云有基本了解，以下背景的任何人都可以从本课程中受益： - 数据科学家/分析师 - 数据工程师/软件开发者 - SQL程序员或数据库管理员 - 渴望学习SQL和Python的数据分析师和科学家 本课程内容包括： - Snowflake的基本概念 - 实用的Snowflake关键特性 - 在AWS Glue中编写Python/Spark作业进行数据转换 - 使用Kafka和Snowflake进行实时流处理 - 交互外部功能及用例 - Snowflake中的安全特性 课程要求： - 具备SQL知识或至少有一些查询写作经验 - 会使用Python（或任何编程语言） - 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帐户，并了解基本的云基础知识 重要提示：您需要一个活跃的AWS帐户才能完成与Python和PySpark相关部分的任务，而其余课程则只需一个免费试用的Snowflake账户即可。 小贴士：尝试以1.2倍速观看视频，尽可能多地阅读参考链接和Snowflake的官方文档。
Course Update as of Feb 2023: This Course has been updated with Snowpark API which covers UDFs,Stored Procedures for ETL and also covers Machine Learning use-case deployments. This course will help you clear SnowPro Advanced CertificationsSnowflake is the next big thing and it is becoming a full blown data eco-system. With the level of scalability & efficiency in handling massive volumes of data and also with a number of new concepts in it ,this is the right time to wrap your head around Snowflake and have it in your toolkit. This course not only covers the core features of Snowflake but also teaches you how to deploy python/pyspark jobs in AWS Glue and Airflow that communicate with Snowflake , which is one of the most important aspects of building pipelines. Anyone who has a basic understanding of cloud and belong to one of the below backgrounds can benefit from this course:- Data Scientists / Analysts - Data Engineers / Software Developers - SQL Programmers or DBA's - Aspiring Data analysts and scientists who are learning SQL and Python This Course covers: What is Snowflake Most Crucial Aspects of Snowflake in a very practical manner Writing Python/Spark Jobs in AWS Glue Jobs for data transformationReal Time Streaming using Kafka and Snowflake Interacting with External Functions & use casesSecurity Features in Snowflake Prerequisites for this course are: Knowing SQL or at least some prior knowledge in writing queries Scripting in Python (or any language )Willingness to explore ,learn and put in the extra effort to succeed An active AWS Account & know-how of basic cloud fundamentals Important Note - You need to have an active AWS Account in order to perform tasks in sections related to Python and PySpark. For the rest of the course , a free trial snowflake account should suffice. Some Tips: Try to watch the videos at 1.2X speed Read the reference links and the official documentation of Snowflake as much as possible
