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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

Оценки: 496

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


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.


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

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51–75 из 124 отзывов о курсе Distributed Computing with Spark SQL


14 июля 2020 г.

Should have explained all parts of syntax when they were used in the queries.

автор: Ishan B H

11 окт. 2020 г.

It gives a big picture regarding use cases with practical examples.

автор: Mageshwari S (

30 сент. 2020 г.

Doing Assignments with theoretical concepts were great learning...

автор: Yifei H

26 июля 2020 г.

Practical. Easy to follow. High ROI for the time investment.

автор: Derek H

12 сент. 2021 г.

G​reat course, I feel like I learned a lot. Great teachers.

автор: Rob E

6 июля 2020 г.

Great course. The pedagogy and content were very well done.

автор: John L

3 окт. 2020 г.

Very well presented and the exrcises actually work!

автор: Aaqib A

30 авг. 2020 г.

Great Course for Beginners...!!!

автор: ABDUL Q A

21 мар. 2022 г.

Very well Designed and taught.

автор: Karthik C

14 апр. 2021 г.

Very Good Course Content

автор: Phú T

28 окт. 2021 г.

very easy to follow up!

автор: Mohammad M R

17 апр. 2020 г.

Good course for spark

автор: David M G

1 мая 2020 г.

Fantastic Course!

автор: pablo s l

27 мар. 2020 г.
















автор: EDGAR I M P

18 нояб. 2021 г.

cosa bien hecha

автор: Borysiuk O

25 мая 2020 г.

Nice work! Thnx

автор: Luis A G M

23 июня 2022 г.

Muy buen curso

автор: Ammar S

20 сент. 2021 г.

Great course!

автор: Estrella P

21 июля 2020 г.

Great Course

автор: Rinrada P

16 июля 2020 г.

great course

автор: Кристијан З

8 апр. 2022 г.

good course

автор: Katerine C

5 июля 2020 г.

Very good

автор: MIJAIL Q F

5 июля 2022 г.



19 апр. 2022 г.

good job

автор: Muhammad I I B J

25 июня 2021 г.