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所在平台: Udemy |
课程主页: https://www.udemy.com/course/snowflake-database-the-modern-data-lake/
课程评论：没有评论
课程名称：Snowflake数据库 - 现代数据湖 课程概述：在大数据传统数据湖项目中，失败率高达60%至80%。尽管Hadoop被宣传为存储和分析数据的平台，旨在通过数据湖的概念来减少数据孤岛，但其在数据操作和实际业务运行方面的表现不佳。Hadoop等大数据系统复杂，维护和构建需要昂贵的工程师团队。本课程将展示Snowflake如何改变这一局面。作为一个完整的现代云数据平台，Snowflake可以与您的数据湖进行整合或完全取代。本课程深入讨论数据湖的历史及现代本地或云数据湖的架构，分析数据湖的优缺点，以及数据湖如何演变成数据沼泽。最重要的是，我们将探讨Snowflake如何完全取代传统数据湖，成为企业数据的单一存储库。课程最后，我们将介绍三个案例研究，讲述在传统本地（或基于云）的数据湖架构中遇到问题的公司，最终选择弃用而转向Snowflake。课程以一些问题结束，可以帮助考核您对材料的理解和掌握情况。
The failure rate on big data traditional data lake projects is between 60% and 80%. Hadoop was billed as the platform to store and analyze data. It promised to minimize data silos with the concept of a Data Lake. But, Hadoop has largely failed in its ability to consider the operational side of data and what it takes to actually run a business. Big data systems like Hadoop are complex and require teams of expensive engineers to build and maintain them. This course shows how Snowflake changes all this. Snowflake is the complete modern cloud based data platform that can integrate with, or completely replace your data lake. This course shows how this is made possible. We do an in-depth discussion of the history of data lakes and the architecture of the modern on-premises or cloud-based data lake. We talk about what's good about data lakes and what's bad about them. We talk about data lakes becoming data swamps. Most importantly, we discuss how Snowflake can completely replace the traditional data lake and be your single repository for corporate data.Finally we present three case studies of companies that tried to make the traditional on-premises (or cloud-based) data lake architecture work for them and finally scrapped it and settled on Snowflake. We wrap up the course with some questions to test your knowledge of the material.
