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
The information was very beneficial, and the ability to use data bricks
helped put into practice the information learned.
Great introduction to Spark with Databricks that seems to be an intuituve tool! Really cool to do the link between SQL and Data Science with a basic ML example!
This course provides hands-on experience in using Databricks's Spark. I learned a lot. I recommend people with some SQL experience to take this course for efficient programming skills!
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.
About the Learn SQL Basics for Data Science Specialization
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