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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: 2,343

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,

This 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:

151–175 из 497 отзывов о курсе Big Data Integration and Processing

автор: SARSAR M E M

29 июля 2020 г.

very interesting course for big data fans :)

автор: Zhi Q

12 янв. 2017 г.

a wide spectrum of tools practiced. awesome!

автор: Assaduzzaman N

26 сент. 2017 г.

This is a very good course in most aspects.


5 июня 2020 г.

Excellant Great exeperince learning course

автор: Tanuj P

1 мар. 2018 г.

Good assignments at the end of the course.

автор: Amarendranadh C P

23 янв. 2022 г.

The course is well explained and designed


26 мая 2020 г.

Very interesting and informative course.

автор: Jose L R

13 окт. 2018 г.

Great course! Please update the HandsOn.

автор: Rajesh P

10 нояб. 2017 г.

Very good course for understanding spark

автор: Ian M

2 февр. 2017 г.

Lots of good hands-on and explanation...

автор: Suhail M

17 июля 2020 г.

Need More Hands on except that all good

автор: YEVHEN K

23 янв. 2018 г.

Very good basic for further learning!!!

автор: Swapnil D

12 мая 2019 г.

Things are materialized in well manner

автор: Juan J R M

9 мая 2017 г.

Get a better description in the week 6

автор: Luis A R

14 июня 2019 г.

Excellent course, very good material.

автор: Manish T

26 июля 2020 г.

excellent course with good hands on

автор: Fernando A S G

14 июня 2017 г.

Great hands on activities! Thanks!

автор: Aarush N

28 сент. 2021 г.

Excellent Course must try for all

автор: Amit K M

8 окт. 2020 г.


автор: Nawaf S B H

25 июля 2020 г.

very well done and simple course

автор: vasudha k

16 янв. 2019 г.

amazing course great assignments

автор: Sarah K

25 июля 2020 г.

Awesome lecturers and contents!

автор: Bhrigu C

16 июня 2018 г.

Great Teachers and great course

автор: William S A

21 авг. 2017 г.

Excellent content and teachers.

автор: leena

28 февр. 2020 г.

This is well organised course.