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

2,319 évaluations
501 avis

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,\n\nThis 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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376 - 400 sur 490 Avis pour Big Data Integration and Processing

par Joren Z

5 juil. 2017

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.

par Rashmi U

28 nov. 2016

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.

par Shruthi R

7 juil. 2019

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.

par Ken C

15 oct. 2017

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.

par A R

19 sept. 2019

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 :)

par Francesca S

6 mai 2018

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.

par Rahul R

8 juin 2017

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.

par prashant

15 janv. 2021

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

par Wolfgang T

7 juin 2021

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.

par Juan G C

20 mai 2021

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.

par Mihai-Bogdan Z

15 août 2020

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.

par Brandon S

12 janv. 2017

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

par Shalaka M

16 oct. 2017

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

par TAY S K

30 août 2021

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

par Leonardo L

10 août 2020

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

par Venkat S

2 sept. 2020

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

par Tatiana M

28 févr. 2017

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

par SU C G

23 oct. 2016

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

par Anirudh

25 déc. 2016

some of the stuff was not mentioned properly, like for last quiz how to expoert data from mongodb

par Pablo A L Z

28 juil. 2020


par Nester P

10 sept. 2017

The last assignment of Week 6 was far more advanced than the rest of the material.

par Luís O

27 avr. 2020

You could focus more on Spark that is the widely software for Big data Processing

par Erik P

14 oct. 2017

very nice, just wish the environment was using docker instead of virtual machines

par Silvia C R S

28 oct. 2017

I think that there should be more exercises for MongoDB and Spark assigments.

par Ramathmika

2 avr. 2020

Not very efficient hands-on practices but overall good learning experience