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Вернуться к Big Data Integration and Processing

Отзывы учащихся о курсе Big Data Integration and Processing от партнера Калифорнийский университет в Сан-Диего

Оценки: 2,341
Рецензии: 507

О курсе

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Лучшие рецензии


21 окт. 2020 г.

Hello Gentlemen,\n\nThis course was very helpful foe me. It enhanced my knowledge about Big Data Integration. Thank you so much for providing me such important knowledge. Thank you once again.


5 мар. 2018 г.

It was a good course, it could have been better if some examples of Spark were also provided in other Languages like Java, people without having background of python may find it difficult.

Фильтр по:

101–125 из 496 отзывов о курсе Big Data Integration and Processing

автор: Piero T

5 дек. 2016 г.

The best course so far (still not doing 4,5,6). It is more complex than the first two.

автор: Nicolás O

20 янв. 2021 г.

Very interesting, difficult Big Data course!! Thanks Coursera for this opportunity!!

автор: Nicolas G

24 сент. 2017 г.

It was a nice experience for me, I consider a excelent course!!! Congratulations!!!

автор: Adryan R A

28 июля 2021 г.

Very good explanation, but i think need some understanding before take this course

автор: Antony C

5 апр. 2018 г.

I enjoyed this module because the theory, hands on and quiz tests were balanced.

автор: Prashant N N

28 дек. 2018 г.

This course was very informative and provided some very good hands on exercises

автор: Nikola M

7 нояб. 2021 г.

​A perfect blend of theoretical and practical approach to MongoDb and PySpark.

автор: Rene G

11 нояб. 2016 г.

Great course! The practices were very useful to me to understand the subjects.

автор: Kuldeep K S

24 июля 2020 г.

Clearly explained . It is one of the best courses in big data specialization

автор: Chetan H

12 мар. 2019 г.

This is awesome course for beginner who didn't have any knowledge of bigdata

автор: Carlos E R M

11 апр. 2017 г.

One of the best ways to start to be in contact with the real Big Data Tools

автор: Qiaochu S

22 февр. 2020 г.

Quite systematic knowledge for Spark, exactly what I want to learn about!

автор: Andrew C

23 дек. 2016 г.

Good amount of theory and also hands-on exercises with some of the tools.

автор: Chandrakanth B

5 дек. 2019 г.

Able to know how big data helps in data integration and processing works

автор: HONG H

16 июня 2017 г.

good information, especially some hands on sparkSQL and spark streaming

автор: Andrés F

10 окт. 2016 г.

I recommend more practical work but as an introductory course it is OK.

автор: Gaurav D

29 июня 2018 г.

Excellent course, great combination of theory and practical knowledge!

автор: Oswaldo C

27 авг. 2020 г.

Se cubren los temas apropiados, además que las lecciones son concisas

автор: Роксолана Д

14 сент. 2017 г.

Amazing course! A lot of practice which is relevant and interesting.

автор: Swapnil B

1 июня 2017 г.

The final quiz was a bit tough and needed understanding and googling

автор: viper

16 авг. 2017 г.

Good course, except there are some obscure place need to be modify.

автор: DAN A

11 авг. 2017 г.

the last quiz was hard. but it was rewarding at the end. Thank You

автор: LOKESH P

16 февр. 2017 г.

Lot of learning in this course compared to the first two courses.

автор: juan a c s

26 нояб. 2016 г.

It was a good course, different data sources and spark in action

автор: Tejprakash U

3 окт. 2018 г.

Course is well designed to address the right side of audience.