Chevron Left
Вернуться к Big Data Integration and Processing

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

4.4
звезд
Оценки: 2,319
•
Рецензии: 501

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

SB
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.

FC
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:

201–225 из 491 отзывов о курсе Big Data Integration and Processing

автор: Emilio M

•
24 июня 2019 г.

very good course

автор: Anurup B

•
26 нояб. 2017 г.

Fantastic Course

автор: jamal a

•
10 окт. 2016 г.

Great course !!!

автор: Diego R G

•
9 апр. 2020 г.

Great course!!!

автор: Esteban E C

•
29 нояб. 2018 г.

Great course :)

автор: Debasish G

•
20 апр. 2020 г.

Great Learning

автор: Pijush K G

•
3 июня 2018 г.

Good tutorial.

автор: MD A R A

•
24 авг. 2020 г.

Excellent !!!

автор: Pavithra

•
21 мая 2020 г.

love to learn

автор: André G P

•
9 нояб. 2018 г.

Great course.

автор: Qinghua Z

•
13 янв. 2018 г.

Great course!

автор: Akash P

•
24 нояб. 2020 г.

Thank You !

автор: priya k

•
9 сент. 2020 г.

good course

автор: Kondaveeti S p

•
9 сент. 2020 г.

GOOD COURSE

автор: Pasawat S

•
29 июня 2019 г.

very useful

автор: Daniel P M

•
1 февр. 2018 г.

Excelent!!!

автор: Farhan J H

•
16 окт. 2016 г.

Best course

автор: Ke L

•
10 нояб. 2021 г.

Thank you!

автор: Alexander C

•
26 мая 2017 г.

Excellent!

автор: Anitha V

•
11 авг. 2020 г.

EXCELLENT

автор: SASI V T

•
11 авг. 2020 г.

EXCELLENT

автор: Kamlesh C

•
30 июля 2020 г.

Thank you

автор: AKANKSHA B

•
27 июня 2020 г.

excellent

автор: Niveditha B B

•
13 мар. 2020 г.

Very good

автор: arnold j

•
19 авг. 2018 г.

beautiful

Coursera Footer

Начните карьеру или продвиньтесь по карьерной лестнице

Смотреть популярные темы

Популярные курсы и статьи

Получите диплом или сертификат онлайн

Coursera

Сообщество

Еще

Учитесь, где угодно
Загрузить из App StoreЗагрузить в Google Play
Placeholder