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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

4.4
звезд
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

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:

176–200 из 496 отзывов о курсе Big Data Integration and Processing

автор: Yuncheng L

25 мая 2021 г.

hard as fk but so nutritious

автор: Velampudi R

9 июля 2020 г.

The course was exceptional

автор: Ivan A

28 авг. 2018 г.

Interesting practise part.

автор: Mahmoud S M K

27 нояб. 2021 г.

G​reat Course explanation

автор: bcsf16a518-AILYAH C

13 мая 2020 г.

Ilkay is the best teacher

автор: Jose A B A

17 дек. 2016 г.

Excelent practical course

автор: Víctor V B

2 дек. 2016 г.

excellent.congratulations

автор: Edgar H

13 нояб. 2016 г.

Good last week practice!!

автор: Aravindhan T

10 дек. 2020 г.

Good learning experience

автор: Nenad B

28 окт. 2020 г.

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автор: SUTHAHAR P

25 мая 2020 г.

Very Interested to Learn

автор: Christy

6 сент. 2020 г.

very great experience.

автор: Sayed T S

28 мая 2017 г.

It was A greate course

автор: Pranav B

5 июня 2020 г.

GREAT COURSE TO LEARN

автор: SANJEEVE K G

19 окт. 2018 г.

Thanks for the Course

автор: Michel R

15 нояб. 2017 г.

Perfect introduction.

автор: Luis F P

3 дек. 2021 г.

Muy bueno y completo

автор: Nishad C

24 мая 2021 г.

The best course ever

автор: maravarman m

4 июля 2020 г.

Nice well structured

автор: Naman A

28 мар. 2020 г.

It was fun learning.

автор: yuansj

23 февр. 2018 г.

very good hands on

автор: Guillermo A A N

10 июля 2017 г.

Hard but it worths

автор: Muhammad S J

7 авг. 2020 г.

Awsome Experience

автор: Abiven J C

29 окт. 2017 г.

Very interesting.

автор: Vaibhav J

31 окт. 2020 г.

brilliant course