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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: 2,342
Рецензии: 508

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.


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.

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376–400 из 497 отзывов о курсе Big Data Integration and Processing

автор: To P H

24 дек. 2018 г.

Too many software issues/installation bugs hampering the learning process. The setup procedures for every quiz takes up around 80% of the time and only 20% actually answering the quiz. Please reduce the number of quiz or consolidate them for learners do that we only need to do setup once. Mentor/Instructor presence in various discussions in which students encounter setup/installation issues are next to full absence and many sudents are left figuring out the problems themselves

автор: Gustavo V

12 окт. 2020 г.

This course gives an introductory overview in Bigdata processing and explain a variety of tools with little depth, concepts are well explained but the workshops take extra effort to complete due to the fact that the tools versions are outdated, some questionnaires don’t match python workbooks and some assignments for the final project don’t have practical examples in the lessons, so you have to use other learning resources.

автор: Bojan N

11 мая 2020 г.

Good content, good instructors - they have a nice way of conveying a message, making it easy to follow. I'm rating this course as 3 stars as the content is not kept up to date at all: materials, files, technical dependencies, versioning of the tools - it consumes MUCH, MUCH more time to get the tools setup in place correctly (so that you are able to run the hands-on exercises) compared to the actual time spent studying

автор: Tomas M

27 июля 2017 г.

While the contents are very interesting and the lectures very thorough the practical side has many draw backs. For instance: Connections to PostgresSql did not work even reading the FAQs, same with streaming data in spark. There are not enough examples on syntax and coding to correctly do the assignments. Overall I am happy with the course but it needs some improvements.

автор: Mauricio H

8 сент. 2019 г.

So, in general, the course provides you with significant knowledge about big data integration processing, however there were simple exercises that could be done faster if there were no problems executing the commands. This problem leads students to quit the course.

I request the staff correct those errors in order to increase the approval rate.

автор: David T

23 окт. 2016 г.

Good experience of using the big data tools but a total lack of engagement in the forums by the instructors and community mentors make it hard going if anything goes wrong. The final quiz took me over 8 hours mostly because there was no one to ask for hints when I was totally stuck and confused!

автор: Pranav K

23 мая 2021 г.

The hands on exercises were very helpful and the course content was great. However, there were many issues while downloading datasets and configuring other applications. This should be updated so that students don't have to go to the forums every single time.

автор: Joren Z

5 июля 2017 г.

The course covers interesting materials and seems thorough. It's mostly lectures and reading, and not so much actually working with the technology. Since the latter tends to be the hardest part, the overall difficulty remains on the low end of the scale.

автор: Rashmi U

28 нояб. 2016 г.

I feel the contents of this course were great, no second thought on it. It makes your concepts crystal clear. But faced lots of issues during practicing the hands on exercises and did not get proper feedback or response on any of the queries.

автор: Shruthi R

7 июля 2019 г.

The hands on dataset installation had lots of problems while installing and spark and mongodb hardly worked even after multiple installations and i had tried many ways to get it to work but there was no benifit.

автор: Ken C

15 окт. 2017 г.

Lots of technical issues with assignments. Spent a lot of time troubleshooting issues that have been around for 9 months or more and never addressed. Seems like this course has been abandoned by creators.

автор: A R

19 сент. 2019 г.

Content was up to date but practice exercises are limited to Cloudera platform as well as too old. Need to be updated with more use cases and more exercises.

Thanks Coursera :)

автор: Francesca S

6 мая 2018 г.

the explanation for the hands on exercises are poor. Had to waste a lot of tie and consult forum discussions as well as other inline tutorial a lot.

автор: Rahul R

8 июня 2017 г.

The course material is not sufficient to work out the exercises. For the Spark final quiz you will have to take up another course to pass this one.

автор: prashant

15 янв. 2021 г.

Assignments related to quiz could have been better explained as there was less explanation w.r.t some spark related quiz and MongoDB related quiz

автор: Wolfgang T

7 июня 2021 г.

C​ourse hasn't been updated for years, there is too much of programming (namely for/in MongoDB), which is, by no means, straight-forward.

автор: Juan G C

20 мая 2021 г.

It is a good course, but the hands-on exercises have a lot of issues and it is really hard to find support through the forums.

автор: Mihai-Bogdan Z

15 авг. 2020 г.

There were a lot of problems with the hands-on... a lot of bugs. You can rewrite / update the scripts. This would help a lot.

автор: Brandon S

12 янв. 2017 г.

Programming instructions were not clear, and the version of Python that was installed on my machine did not support the Jupy

автор: Shalaka M

16 окт. 2017 г.

I wish that the Spark programming should have been covered in more details as was the MongoDB and Splunk covered.

автор: TAY S K

30 авг. 2021 г.

Installation instructions need to be improved. Wasted too much time installing, rather than hands-on practice

автор: Leonardo L

10 авг. 2020 г.

the instructions to the final test are insufficient and the forums cant fullfill the students questions.

автор: Venkateswara P S

2 сент. 2020 г.

One of the tools mentioned tin the course do not work with Cloudera any more. So my labs became tough.

автор: Tatiana M

28 февр. 2017 г.

A little slower than the last ones, not my favorite but great use of hands-on projects and enagagement

автор: SU C G

23 окт. 2016 г.

Needs more depth. Instructors should reference more external readings since the lectures are brief.