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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: 2,340
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.


24 сент. 2016 г.

Best course taking into account the first three. Good material, more in depth than the other ones. Very well explained. Useful to get a sense of various interesting topics and orientative.

Фильтр по:

326–350 из 496 отзывов о курсе Big Data Integration and Processing

автор: Xiuting W

25 мар. 2019 г.

Useful course. Give more examples of small projects would make this course better.

автор: Benh L S

27 февр. 2020 г.

Very good, but a few glitches with the instructions to setup PySpark in my view.

автор: Ripunjay K

13 дек. 2019 г.

Good course to enhance knowledge. Data sheet for code should be given separately

автор: Gabriel T

1 февр. 2018 г.

Awesome lectures and hands-on. Learned a whole lot. Thanks for a great course.

автор: Jamal A

28 апр. 2017 г.

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

автор: Yujie G

3 нояб. 2020 г.

Some of the cousera material is not clear and also the final quiz is too hard

автор: Stig

20 нояб. 2017 г.

I some issues with installation of the right versions for assignments etc.

автор: Suraj J W

3 авг. 2019 г.

A BIG THANKS for all your help to learn others about this new technology.

автор: Emmanuel S

11 апр. 2020 г.

Some explanations can be improved. I've flagged the ones I didn't like.

автор: Tatiana V

29 окт. 2017 г.

The last test was too hard for those without background in programming

автор: Gustavo I M

20 янв. 2019 г.

Too easy until week 5. And in the week 6 disproportionate evaluations

автор: YU-CHIA, H

10 июля 2018 г.

A great tutorial for beginner, it is better if there is more practice

автор: Frank C

21 дек. 2016 г.

Very well explained!! This course and specialization are really good!

автор: Siddhartha

29 апр. 2020 г.

Very interesting course. It was good working with MongoDb platform

автор: Sabawoon S

23 янв. 2018 г.

Very good content, The last quiz was more about python than spark.

автор: Pradhyumn A

4 июня 2020 г.

some of the working files created mischief so it ruined the swing


30 мая 2017 г.

Very interesting course, and a good practical exercise at the end

автор: Liliana d C C M

9 июля 2019 г.

Muy bueno, aprendí mucho, sobre todo en el trabajo de curso

автор: Ranjan K G

28 апр. 2019 г.

Good course to start learning Mongo DB and spark basically.

автор: fridolin m

17 июля 2021 г.

updating the files of hands-on experience will be helpful.

автор: Ing. J H B S

29 мар. 2018 г.

Helpful and really cutting edge all the contents!

автор: Giovanny F F F

3 авг. 2020 г.

Need to explain more about the syntax in spark.

автор: Puneeth K R

1 нояб. 2020 г.

it's very intresting to learn this course

автор: Chika E

2 авг. 2020 г.

Had some analysis issues at the end.

автор: Kajal N

2 мар. 2019 г.

Great experience towards this course