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Вернуться к Distributed Computing with Spark SQL

Отзывы учащихся о курсе Distributed Computing with Spark SQL от партнера Калифорнийский университет в Девисе

4.5
звезд
Оценки: 493

О курсе

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....

Лучшие рецензии

GT

9 июня 2020 г.

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

13 мая 2020 г.

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

Фильтр по:

101–123 из 123 отзывов о курсе Distributed Computing with Spark SQL

автор: Gustavo M L A

16 нояб. 2020 г.

Liked the practical part and the instructors.

автор: AVIJIT J

11 апр. 2022 г.

N​ote book for the last week is missing!

автор: Tuyên Đ

3 нояб. 2020 г.

good for spark-ml, bigdata beginer

автор: Leonardo S

7 янв. 2022 г.

I found it very interesting.

автор: Dr. H K A

13 апр. 2020 г.

Happy to attend this course.

автор: Anthony J V H

9 сент. 2021 г.

Muy buen curso

автор: Gabriel J N P

6 февр. 2022 г.

Great!!

автор: Colleen

21 дек. 2020 г.

This course was a good introduction to Spark SQL, but they tried to cram too much into one course and ended up not being very clear about most of the material. This could be broken down into a specialization and it would be more effective. I got through by Googling a lot, and I already have a background in Machine Learning, but for someone new to the material it would be overwhelming. I wish they'd explained things like how parallelization works more effectively instead of rushing through too much material. The instructors clearly know their stuff, but they need to work on breaking these concepts down for people who don't have much experience in computer science.

автор: Allyson D d L

5 дек. 2021 г.

I was disappointed because I still don't know how to insall Spark in my PC. I tried to install but it doesn't work. So I think it would be better if we could learn how to use Spark without Databricks. And the content is too superficial.

автор: Luis A E E M

14 нояб. 2021 г.

Es un curso muy interesante pero le aumenta mucho nivel que este en idioma ingles, deberían sacar cursos de SQL en español para solo concentrarnos en aprender los querys y no tratar de también traducir y entender lo que piden en ingles.

автор: k b

23 дек. 2021 г.

Even though the course is informative, it lacks support from course instructors. You would find many unanswered questions on the discussion board. Coursera should look into that.

автор: Minh D

26 сент. 2020 г.

plus points:

detailed notebook & easy to use environment

acceptable slides & course videos

cons:

almost no distributed stuffs at all

not diving deep into spark internals

автор: Sizhe L

26 окт. 2019 г.

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.

автор: Serge M

31 янв. 2022 г.

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.

автор: Pedro S

1 июня 2020 г.

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

автор: Zhenhua C

20 мая 2020 г.

great course. but the last assignment has too many coding problems to fix after q2. dont know why

автор: Ho y L

18 дек. 2021 г.

difficult for new beginners to learn

автор: Sahil G

15 авг. 2022 г.

The course assumed that the learner knows a lot of things about apache spark beforehand. It did not explain concepts very deeply, given very brief overview in a very haste manner. There should have been given some solid understanding of concepts.

автор: Renzo S M A

3 июня 2022 г.

databricks is a good platform but their free version of it is lacking support for the coursera lesson

автор: Ryan M

14 нояб. 2021 г.

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

автор: francisco j a a

21 окт. 2021 г.

N​one useful at all. Don't expect to start to write anything realistic after this course

автор: ken k

20 окт. 2021 г.

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

автор: Nourelhouda D

26 окт. 2021 г.

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