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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/apache-spark-sql-for-data-analysts
课程评论：没有评论
课程总结：Apache Spark (TM) SQL for Data Analysts 本课程旨在帮助数据分析师掌握Apache Spark这一大数据分析领域中的重要技术。通过课程学习，学员将能够利用现有的SQL技能快速上手Spark，并了解如何使用Delta Lake，这是一种高性能的开源存储层，旨在为数据湖提供可靠性。 课程内容包括： 1. 课程介绍：了解学习目标和常见问题，与同学互动。 2. Spark使大数据变简单：介绍Spark的基本概念和优势。 3. 在Databricks上使用Spark SQL：学习在Databricks平台上应用Spark SQL。 4. Spark的内部工作原理：深入理解Spark的架构和工作机制。 5. 复杂查询：掌握处理复杂查询的技巧。 6. 实践Spark SQL：通过实际案例应用Spark SQL。 7. 数据存储与优化：学习数据存储策略及优化方法。 8. 使用Spark SQL的Delta Lake：了解Delta Lake如何与Spark SQL结合使用。 9. SQL编码挑战：通过编码练习巩固学习成果。 完成本课程后，学员将能够使用Spark SQL和Delta Lake进行数据的获取、转化和查询，为团队提供有价值的洞察和分析支持。
Name:Welcome to Apache Spark SQL for Data Analysts
Description:An introduction to this course including learning objectives, frequently asked questions, and a chance to get to know fellow classmates.
Name:Spark makes big data easy
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Name:Using Spark SQL on Databricks
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Name:Spark Under the Hood
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Name:Complex Queries
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Name:Applied Spark SQL
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Name:Data Storage and Optimization
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Name:Delta Lake with Spark SQL
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Name:SQL Coding Challenges
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Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.
