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.
- 5 stars65.90%
- 4 stars23.32%
- 3 stars6.71%
- 2 stars1.94%
- 1 star2.12%
來自DISTRIBUTED COMPUTING WITH SPARK SQL的熱門評論
I highly recommend this course for anyone in the BI and Data space interested in learning Spark. The course gives an easy to understand to the framework and applicable hands on examples.
The information was very beneficial, and the ability to use data bricks
helped put into practice the information learned.
Great course to learn more in depth about Apache Spark. Good instructors and course content. Thanks UC Davis and Coursera!
This was one of the best courses I've taken on Coursera. It represents a perfect blend of easy to understand Spark, Python and ML.