Chevron Left
Retour à Big Data Integration and Processing

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

1,789 évaluations
384 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


Mar 06, 2018

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.


Sep 25, 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.

Filtrer par :

251 - 275 sur 371 Avis pour Big Data Integration and Processing

par Gustavo J

Nov 16, 2017

This is mre interesting than the previous courses on the Big Data Specialization. More hands on...

par Ahmad M E R

Mar 01, 2019

The most interesting part in this course dealing with spark and the final quiz is really amazing

par Cordell M

Jul 22, 2017

that last spark exam was really hard. the script took a long time to finally get working

par Xiuting W

Mar 25, 2019

Useful course. Give more examples of small projects would make this course better.

par Benh L S

Feb 27, 2020

Very good, but a few glitches with the instructions to setup PySpark in my view.

par Ripunjay K

Dec 13, 2019

Good course to enhance knowledge. Data sheet for code should be given separately

par Gabriel T

Feb 01, 2018

Awesome lectures and hands-on. Learned a whole lot. Thanks for a great course.

par Jamal A

Apr 28, 2017

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

par Stig

Nov 20, 2017

I some issues with installation of the right versions for assignments etc.

par Suraj J W

Aug 03, 2019

A BIG THANKS for all your help to learn others about this new technology.

par Emmanuel S

Apr 11, 2020

Some explanations can be improved. I've flagged the ones I didn't like.

par Tatiana V

Oct 29, 2017

The last test was too hard for those without background in programming

par Gustavo I M

Jan 20, 2019

Too easy until week 5. And in the week 6 disproportionate evaluations

par YU-CHIA, H

Jul 10, 2018

A great tutorial for beginner, it is better if there is more practice

par Frank C

Dec 21, 2016

Very well explained!! This course and specialization are really good!

par Siddhartha

Apr 29, 2020

Very interesting course. It was good working with MongoDb platform

par Sabawoon S

Jan 23, 2018

Very good content, The last quiz was more about python than spark.


May 31, 2017

Very interesting course, and a good practical exercise at the end

par Liliana d C C M

Jul 09, 2019

Muy bueno, aprendí mucho, sobre todo en el trabajo de curso

par Ranjan K G

Apr 28, 2019

Good course to start learning Mongo DB and spark basically.

par Juan H B S

Mar 29, 2018

Helpful and really cutting edge all the contents!

par Kajal N

Mar 03, 2019

Great experience towards this course

par Guillem C M

Nov 01, 2018

The final week is quite difficult

par Soham G

Mar 01, 2020

little bit drastic and lengthy.

par Mehul P

Dec 31, 2017

Nice overview to get into it.