Avis et commentaires pour d'étudiants pour Big Data Integration and Processing par Université de Californie à San Diego

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.

IF YOU ARE GOING TO PROVIDE COURSES MAINTAIN THEM AND MONITOR THEM!

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!

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.

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.

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.

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 setup.sh files are out of date with the spark updates.

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.

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.

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.

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.

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.

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.

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.

Quizes are inconsistent with given dataset. Questions are bad: i.e. what is the difference between "number of distinct countries mentioned" and "number of countries mentioned in tweets".

La virtual box de cloudera va muy lenta y es imposible hacer los ejercicios de manera fluida y satisfactoria.

El usuario y la contraseña de Splunk que se proporcionan estan caducados

I miss a proper buildup from the theory to the practical exercises. Especially the last quiz I found very difficult based on the limited number of exercises presented upfront.

Practice activities files are outdated and a lot of the installation of downloaded tools requires manual fixing, there is no support at all from the course publishers.

Links do not work and you must spent a lot of time in the Discussion Forum to know how to run the programs.

Instructions for the quiz are not clear and confused

I had many problems with the final two programming assignments with running Spark in the VM and there isn't a lot of help available online.

The materials explaining the course are too poor. This is a core course in the specialization.

The quizzes are out of the material's league

Too many different software packages, not enough depth, and no support. Good high level overview.

1. the whole week 1 and week 2 are useless and not helpful.

2. Plz add more handson sections

This course focuses entirely on theory and there are very few hands on exercises .

On week 6 Pyspark hands-on, no guidance, un-understandable and not working

I had lots of problems with postgresql, could not run the hands-on for it