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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: 2,370

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:

426–450 из 503 отзывов о курсе Big Data Integration and Processing

автор: Silvain d M

23 авг. 2017 г.

Although the contents of the course is good, I found that the hands-on exercises needed to pass tests were problematic due to many errors occurring when trying to setup the tools or running provided scripts. This means most of the limited time I have for this was spend browsing the course forums and the internet chasing solutions for errors occurring in the exercises and not on actually working on the assignments.

Also the course makes you install several tools/apps. In itself it is good to be exposed to these tools, however some of these are only used to a limited extent, while still taking time to install and setup. Worst is one of the tools requiring personal information in order to be downloaded and as a consequence being chased by sales reps for the tool.

автор: Christoph S

3 апр. 2020 г.

Again I'm torn between quitting this specialization and biting through the rest of it. While the course is good on the high-level view, the link to the low level, the tools and their application just doesn't work well for me. The different tools are presented and used just enough to scrape a tiny lttle bit of the surface, then you're heading on the next chapter. Like in the previous courses, the tools in the VM sometimes need quite a bit on tinkering until everything works as expected. The main drawdown in this course was the final test that I did not felt prepared for at all. On the bright side, you learn to love the Spark manual...


автор: Vincent O

18 янв. 2021 г.

Course materials are dense in high-level knowledge whereas the final project is technical. The hands-on learning is too linear and hand-wavy to leave users a programming assignment at the end of the course without the same constraints. The course was great in general for the subjects it covers. I do not think the applied hands-on learning is done in a way that gives any lasting understanding. I've given only two stars mostly for the reason that it took over 2 hours of my time simply debugging issues with the included VM to allow me to complete any course work. I would not expect that someone without a systems background would be able to complete the course work at all because of the several core issues with the VM configuration and included packages.

автор: Andrew D

14 окт. 2016 г.

Overall this course does have some good content and delivers big data concepts. However, as others have mentioned some content (especially in early modules) could either be combined or ommited. Key focus areas on Spark and MongoDB are not given enough focus and lab time.

The quizes have badly worded questions. Finally the last assignment required to pass the class has bad directions and covers content not reviewed in the class. Spent a frustrating amount of time trying to get what most likely is simple code to work.

I'm hoping this particular module is revised. For those just interested in learning Spark or Mongo and not doing the certificate program you can probably get better learning from doing your own research.

автор: John F

10 авг. 2020 г.

I'm about halfway through this course and the specialization as a whole.

It it apparent that these courses were created a few years ago and have been left to their own devices since then. Any software version that you need to download is so old it may not even exist, and if you want help with it don't count on any responses.

Also as this specialization goes on, it seems to be more and more abstract, wordy lectures where you will absorb very little, and then a rushed assignment where you try to apply something literally one time before they move on to the next item.

With this level of engagement and assignments I will end up having to actually learn this stuff elsewhere from someone who knows how to teach.

автор: Joaquim P

14 мая 2019 г.

I think that this course doesn't provide a substantial value to the student. It's basically a series of theoretical videos with irrelevant exercices that the student doesn't even have to think about. It's only about copy and paste until the last assignment. Until then, it's just a waste of time. Obviously it will be a good course for those people who only want the certificate and to pass the course with no effort at all, but it provides no value. On top of this, there is no technical support and I have struggled a lot in order to make everything work properly. I also suggest Coursera to give some guidance in the last assignment, there is a lot of lost people.

автор: Ryan H

12 июня 2017 г.

Again, another course in this series shows a lack of effort in its quiz construction. By the final week, you are presented with a challenge that will require numerous hours pouring over different documentations of both pyspark and MongoDB because there is a lack of essential knowledge being taught in the course. The final "project" is based on a very small amount of what was learned, and as it so happens, only a small amount of what was needed was actually taught. I'm hoping for improvement with the rest of the course, because the majority of this course was good, but the final week just ruined the experience.

автор: Guillem P

10 янв. 2017 г.

The last assignment of the course is, compared to the others, more difficult. In my case, I ran into several errors which I couldn't get help in solving by using the course Forum, as the end of course deadline was just a few days ahead. I had to analyze the tweet texts for the last graded assignment without using Spark framework (nor any of the other "Big Data" tools explored in the course).

I also found some of the videos by PhD. Amarnath Gupta were difficult to understand, his examples were unclear and, in my opinion, too complex and difficult to follow and understand what was the reasoning thread.

автор: John R

9 июля 2017 г.

I was really disappointed by this course, having found the previous courses interesting and helpful. I found the standard of teaching and explanation was poor, and difficult to follow, and the exercises, especially the Mongo DB and Spark remarkably difficult to work out with very little help or support given.

With Spark 2.0 and tools which run over Mongo to provide a SQL interface I'd challenge the usefulness of learning interfaces which are well out of date. We should now be learning SQL interfaces over both Mongo and Spark. The existing interfaces are difficult to just get in the way.

автор: JOHN G

2 июня 2020 г.

While there was a lot of useful information in this course at a "survey" level, the slides, documentation, and content in no way aligned with the level of knowledge needed to execute the assignments. That, coupled with the utter lack of maintenance on this course which resulted in MANY issues with incompatible tool versions and therefore code crashes, made this an extremely frustrating experience. If this had been my first Coursera experience it would have been my last as well.


автор: Rafif S

14 июня 2020 г.

This was one of my favorite courses. i learned a lot of new things however the reason i am rating it low has to deal with the whole section on the hands-on; which in my opinion is the most important part. the instructions on downloading and running Anaconda was not clear and i had some many error messages that i was not able to do properly any of the assignments. besides no staff support at all. the professors are great and their explanation fantastic. should revisit the whole hands on and provide more staff support. a pity!

автор: Wayne O

30 сент. 2020 г.

Most of the course content is similar to the rest of the specialization. Week 6, however, is a sudden spike in difficulty using mongoDB and Spark without any explanation of how to use the advanced capabilities of either language. The last two assignments were nearly impossible for me to do while googling how mongodb and pyspark work. Either would have been fine if the course focused on one or two tools in depth, but not with the survey style that it uses.

автор: Ярослав Ф

4 мая 2020 г.

В курсе не рассматриваются базовые операторы MongoDB, например, обращение к данным в подструктуре. Некорректная информация по поводу установки нужных программ для работы в 6 неделе. Никак не мог подключиться к Jupyter и использовать PySpark. Преподаватели не общаются со студентами и отказываются обьяснить. Лекции интересные, но расплывчатые. Так же есть реклама приложения, что само по себе уже не красиво.

автор: MartinsT

29 окт. 2020 г.

I'm very satisfied with the knowledge I have gained by taking this course, but I'm VERY DISAPPOINTED in the practical tasks (Hands on tasks), because the tools used in analysis are not up to date - they are not working when you follow the hands on task guide. You can get them to work through researching forums for help, but still it's unacceptable because you have to pay for this course.

автор: Stefan B

7 мар. 2022 г.

The information learned in this course is good and helpful. However, the practical hands-on won't work most of the time. The provided virtual machine is so outdated that downloading required installations fail. If you do not have other options to do the hands-on, you will not be able to complete the course and get a certificate because results of the hands-on are part of the quizes.

автор: Deleted A

10 июня 2021 г.

The course content is good - however the VM provided needs alot of work to get it working - i have spent weeks over this specialisation just trying to get software installed and working - thankfully i know Linux and work in IT . I think if the software was refreshed to something in support and not behind a paywall on the most part this would be great.

автор: Karen H

31 мая 2021 г.

The course and specialization is overall good, however I encountered lots of technical challenges during the completion of the tasks.

First, Centos 6 is not supported and lots of difficulties do upgrade some staff. Couldn't connect pyspark with Jupyter Notebook.

Guys, you need either upgrade the materials or remove it from Coursera .

автор: Stephen L

23 июля 2017 г.

Good material and challenging assignments, but too many technical issues with setup instructions and spark context. You have to be a cloudera expert to solve the issues. There does not seem to be any support from the course instructors or assistants. The files are out of date with the spark updates.

автор: Chew S J (

17 июля 2018 г.

The contents seem to be fine at the beginning but the assignment on Week 6 was just way too much for me. The assignment lacks clear guideline and perhaps, lecture contents need to be updated, or the assignment task needs to be revised.

It took me two weeks to complete the last week of the course itself.

автор: Swetha K

25 мая 2020 г.

Too much of theory, and very little practical knowledge is taught. But at the end of the course, the quiz requires hands-on knowledge on Python & Spark. How is it expected that we can solve those questions without prior knowledge, I do not understand. Disappointed with the course content.

автор: Polla T

16 сент. 2017 г.

The final pyspark project was too hard for me and I don't exactly understand without massive python knowledge how can this be solvable, while the weeks lessons were way too easy compare to this final project.

This whole course was a little bit too superficial, without comprehensive tasks.

автор: Christopher R

27 июня 2017 г.

Interesting material and good lectures however some of the hands-on work was difficult / impossible to complete due to issues with SparkSQL, which have gone unanswered in the discussion forums, so had to export the data and use other tools to perform those analyses.

автор: Ferran G

9 янв. 2020 г.

Low score because professor team/staff seemed to completely ignore discussion forums. A lot of participants have had problems running shell scripts and other setup instructions that are necessary to perform some tasks, and their posts have been ignored.

автор: Robert H

8 сент. 2017 г.

Tedious exercises through VM where instructions oftentimes do not work out of the box. It is a hassle to download the slides in small sets and their design awful. Definitely one of the worse courses I have taken.

автор: Klaas v S

19 мая 2020 г.

The supplied tools are broken in hard to debug ways, as is evident from the discussion forums, where literally thousands of questions are raised. Somebody should do sentiment analysis on these forums, I suppose.