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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Compétences que vous acquerrez
- 5 stars66,12 %
- 4 stars23,06 %
- 3 stars6,84 %
- 2 stars1,98 %
- 1 star1,98 %
Meilleurs avis pour DISTRIBUTED COMPUTING WITH SPARK SQL
This course was more of an introduction to the DataBricks platform but did introduce important concepts of Spark. I would have liked a somewhat longer course that goes into more detail.
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.
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
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.
À propos du Spécialisation Learn SQL Basics for Data Science
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