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Learner Reviews & Feedback for Big Data Integration and Processing by University of California San Diego

4.4
stars
2,426 ratings

About the Course

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+....

Top reviews

AG

Oct 8, 2017

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

TS

Sep 27, 2017

Good coverage of the issues. Splunk exercise smelled like a promotional thing, not very useful. I think the exercises should be harder and on more complex examples.

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501 - 514 of 514 Reviews for Big Data Integration and Processing

By Kivan I

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Jul 14, 2017

No followup from course mentors and admin. A lot of the software also had bugs and caused errors, which is why there was a need for mentors assistance.

By Avishay G

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Mar 30, 2019

The course is ok until the final project which is totally not compatible with the level of the hands on during the course ,the final project is a mess

By Abdelali E M

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Mar 10, 2019

Les fonctions ne fonctionnent pas sur Jupyter. Il faut revoir ces TP !! j'ai perdu beaucoup de temps à chercher sur internet les bonnes fonctions.

By Manuel M B

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Oct 22, 2020

It's a good course but sadly there is no support from TA. Cloudera Virtual Machine Does not work well. I have to use a Docker image of pyspark.

By Shubhradeep B

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Aug 25, 2019

anaconda file not working when bigdata3 file is extracted. Very bad experience in doing the project. Local host 8889 not opeening. Dont know why

By Kjell L

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Sep 12, 2016

The course cost too much for the gain of knowledge. Feels like this course could be merge with the first or the third course.

By Kosuru V R S c

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May 15, 2020

the programming assignments are designed very poorly. it takes lot of time to install and trouble shoot the installation.

By claudio f

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Nov 30, 2016

Poorly designed, no help whatsoever from the staff, Forum is totally worthless. Worst course I ever had on Coursera.

By KAY A

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May 7, 2019

It is very difficult when the environments don't work. This course has been very difficult to navigate

By Anatolie P

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Dec 12, 2019

No any support, the soft versions are old. The control data in quiz does not correspond to real data

By Ricardo L C T

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May 21, 2017

the quiz at the end is impossible to solve with the course content.

By Alex B

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Sep 17, 2019

learning data is corrupted. nothing works

By Ana P V

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Feb 10, 2021

Many problems installing pyspark

By Xizhe Y

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Nov 6, 2016

Awful