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Learner Reviews & Feedback for Distributed Computing with Spark SQL by University of California, Davis

4.5
stars
662 ratings

About the Course

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. The first module introduces Spark and the Databricks environment including how Spark distributes computation and Spark SQL. Module 2 covers the core concepts of Spark such as storage vs. compute, caching, partitions, and troubleshooting performance issues via the Spark UI. It also covers new features in Apache Spark 3.x such as Adaptive Query Execution. The third module focuses on Engineering Data Pipelines including connecting to databases, schemas and data types, file formats, and writing reliable data. The final module covers data lakes, data warehouses, and lakehouses. Students build production grade data pipelines by combining Spark with the open-source project Delta Lake. By the end of this course, students will hone their SQL and distributed computing skills to become more adept at advanced analysis and to set the stage for transitioning to more advanced analytics as Data Scientists....

Top reviews

GT

Jun 9, 2020

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.

KS

May 13, 2020

Amazing course that really cuts through the fundamentals of using distributed computing power to analyze and manipulate data. Well organised structure on fundamentals

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151 - 162 of 162 Reviews for Distributed Computing with Spark SQL

By Serge M

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Jan 31, 2022

Less DataBricks and more Spark would be better. The content was well done, but I was put off by all the DataBricks stuff getting in the way.

By Pedro S

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Jun 1, 2020

There is not updated notebook with the last spark release, it's very confusing and a lots questions into the forum

By Olli N

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Sep 27, 2022

Seems to by Databricks advertise and is sevrely limited by the Databricks environment. Every time I return to the course there is need to play with clusters and whatnot so that it takes more time to set everything up than actually to complete the course

By Kevin E C O

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Oct 23, 2022

Los nuevos conceptos en este son muy interesantes pero el número de ejemplos que se brinda no son muy claros y cuesta entenderlos.

- Poner más ejercicios de ejemplos.

- Ser más claro en la explicación de los conceptos.

By Niamh O

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Mar 27, 2024

The Databricks Community Edition environment is really buggy and prevented me finishing this part of the course.

By Ryan M

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Nov 14, 2021

I COULDNT LOAD THE FILE IN DATA BRICKS AND COULDNT GET A RESPONSE SO I COULDNT COMPLETE THE CERTIFICATE

By francisco j a a

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Oct 21, 2021

None useful at all. Don't expect to start to write anything realistic after this course

By Omela G

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Apr 17, 2024

It's more of a Comp Sci class than anything to do with SQL. Little guidance.

By Ja-Yuan P

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Jan 12, 2024

Don't take this certifications is a scam. Don't teach you if you wrong.

By ken k

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Oct 20, 2021

More and more difficult the courses go, where they stop nobody knows.

By Nourelhouda D

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Oct 26, 2021

Doesn't work if you are not in the USA!

By Popovych A

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Feb 14, 2023

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