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

2,343 évaluations

À propos du cours

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+....

Meilleurs avis


21 oct. 2020

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 sept. 2016

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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426 - 450 sur 497 Avis pour Big Data Integration and Processing

par Joaquim P

14 mai 2019

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.

par Ryan H

12 juin 2017

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.

par Guillem P

10 janv. 2017

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.

par John R

9 juil. 2017

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.

par JOHN G

2 juin 2020

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.


par Rafif S

14 juin 2020

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!

par Wayne O

30 sept. 2020

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.

par Ярослав Ф

4 mai 2020

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.

par MartinsT

29 oct. 2020

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.

par Stefan B

7 mars 2022

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.

par Marek K

10 juin 2021

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.

par Karen H

31 mai 2021

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 .

par Stephen L

23 juil. 2017

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.

par Chew S J (

17 juil. 2018

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.

par Swetha K

25 mai 2020

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.

par Polla T

16 sept. 2017

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.

par Christopher R

27 juin 2017

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.

par Ferran G F

9 janv. 2020

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.

par Robert H

8 sept. 2017

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.

par Klaas v S

19 mai 2020

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.

par Sergey K

8 oct. 2016

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".

par Enrique C M d C

19 nov. 2017

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

par Erwin v R

24 déc. 2016

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.

par Brian S

23 mai 2019

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.

par Luis E M

9 avr. 2020

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