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.
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University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
- 5 stars65,33 %
- 4 stars23,84 %
- 3 stars7,01 %
- 2 stars1,60 %
- 1 star2,20 %
Top-Bewertungen von DISTRIBUTED COMPUTING WITH SPARK SQL
The information was very beneficial, and the ability to use data bricks helped put into practice the information learned.
A good introduction to Spark SQL. A pity that the course assignment was not very challenging but more focused on understanding of Spark itself.
Good course. Maybe little more details on how Spark works, Spark architecture would make the story complete
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.
Über den Spezialisierung Learn SQL Basics for Data Science
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
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