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.
About this Course
Skills you will gain
- 5 stars65.84%
- 4 stars23.41%
- 3 stars6.69%
- 2 stars1.93%
- 1 star2.11%
TOP REVIEWS FROM DISTRIBUTED COMPUTING WITH SPARK SQL
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.
Everything was taught in a way it was easy to understand for a Layman. Practise workbook in Databricks gave lot of hands on experience. Got to learn about new concepts in easy to understand way.
The information was very beneficial, and the ability to use data bricks
helped put into practice the information learned.
Great course, really well taught and delivered. Only thing I would say is you would really need knowledge of python to really understand this course 100%
About the Learn SQL Basics for Data Science Specialization
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