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カリフォルニア大学デービス校(University of California, Davis) による Distributed Computing with Spark SQL の受講者のレビューおよびフィードバック

4.3
33件の評価
8件のレビュー

コースについて

This course is for students with SQL experience and now want to take the next step in gaining familiarity with distributed computing using Spark. Students will gain an understanding of when to use Spark and how Spark as an engine uniquely combines Data and AI technologies at scale. The four modules build on one another and by the end of the course the student will understand: Spark architecture, Spark DataFrame, optimizing reading/writing data, and how to build a machine learning model. The first module will introduce Spark, including how Spark works with distributed computing and what are Spark Dataframes. Module 2 covers the core concepts of Spark such as storage vs. computing, caching, partitions and Spark UI. The third module looks at Engineering Data Pipelines covering connecting to databases, schemas and type, file formats and writing good data. The final module looks at the application of Spark with Machine Learning through the business use case, a short introduction to what machine learning is, building and applying models and a final course conclusion. By understanding when to use Spark, either scaling out when the model or data is too large to process on a single machine, or having a need to simply speed up to get faster results, students will hone their SQL skills and become a more adept Data Scientist....

人気のレビュー

D

Feb 12, 2020

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

OD

Mar 26, 2020

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%

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Distributed Computing with Spark SQL: 1 - 9 / 9 レビュー

by Joseph B

Jan 06, 2020

Extremely informative for those who are seeking to learn the fundamentals for distributed computing using Spark SQL.

by md z a

Mar 04, 2020

Expecting more advance material

by Sacha v W

Feb 19, 2020

very superficial using databricks. The courses misses depth to be of any use. It is more a Databricks commercial. Executing pieces of available course without sufficient practice

by Dilin J K J

Feb 12, 2020

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

by Oisin D

Mar 26, 2020

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%

by Isaac T

Feb 23, 2020

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.

by Pablo S L

Mar 27, 2020

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by Sizhe L

Oct 26, 2019

video quality needs to be improved. Be careful about the last assignment. The accuracy asked in the question is the accuracy over the training data.

by Steven O

Apr 06, 2020

A more appropriate title for the class would be "a brief introduction to Databricks". Very disappointing class. There are Youtube tutorials out there with more content than this class. This is one of the only classes that I have ever taken on Coursera where I could complete 2 weeks worth of all the lectures, assignments, and quizzes in a Sunday afternoon. I think this class was hastily slapped together, there is so little content. If your organization uses Spark and is not a Databricks client (as mine is), you will learn absolutely nothing here. The lectures are extremely short and devoid of any substance. I am still looking for a good online class in Spark. It certainly is not this one.