This course is all about big data. It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain a thorough understanding of this open-source standard for working with large datasets. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments. The four modules build on one another and by the end of the course you will understand: the Spark architecture, queries within Spark, common ways to optimize Spark SQL, and how to build reliable data pipelines.
Об этом курсе
- 5 stars65,84 %
- 4 stars23,41 %
- 3 stars6,69 %
- 2 stars1,93 %
- 1 star2,11 %
Лучшие отзывы о курсе DISTRIBUTED COMPUTING WITH SPARK SQL
This has been an amazing course. What is worth mentioning is how the content was delivered. Nice hands on. Highly recommended for anyone who is new to Spark
Great course to learn more in depth about Apache Spark. Good instructors and course content. Thanks UC Davis and Coursera!
Great course! I loved the exercises, they were very helpful and I learned a lot about Spark and ML from this course.
Great introduction to Spark SQL and ML Flow. I love that they give extra resources if you want to learn more. It was a fun learning journey.
Специализация Learn SQL Basics for Data Science: общие сведения
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