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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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351 - 375 of 514 Reviews for Big Data Integration and Processing

By SIDDHARTH S

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Aug 30, 2022

just provide more examples please ....Its a lot tougher to do on our own

By Emmanuel S

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Apr 11, 2020

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

By Tatiana V

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Oct 29, 2017

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

By Gustavo I M

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Jan 20, 2019

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

By YU-CHIA, H

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Jul 10, 2018

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

By Frank C

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Dec 21, 2016

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

By Siddhartha N

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Apr 29, 2020

Very interesting course. It was good working with MongoDb platform

By Sabawoon S

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Jan 23, 2018

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

By Pradhyumn A

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Jun 4, 2020

some of the working files created mischief so it ruined the swing

By NFOTABONG F Q

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May 30, 2017

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

By Liliana d C C M

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Jul 9, 2019

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

By Ranjan K G

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Apr 28, 2019

Good course to start learning Mongo DB and spark basically.

By fridolin m

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Jul 17, 2021

updating the files of hands-on experience will be helpful.

By Ing. J H B S

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Mar 29, 2018

Helpful and really cutting edge all the contents!

By Giovanny F

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Aug 3, 2020

Need to explain more about the syntax in spark.

By Puneeth K R

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Nov 1, 2020

it's very intresting to learn this course

By Chika E

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Aug 2, 2020

Had some analysis issues at the end.

By KAJAL N

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Mar 2, 2019

Great experience towards this course

By Guillem C M

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Nov 1, 2018

The final week is quite difficult

By SHUBHAM T

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May 2, 2022

quite interesting and futuristic

By Soham G

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Mar 1, 2020

little bit drastic and lengthy.

By Deleted A

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Dec 25, 2020

Spark is not an easy language

By Mehul P

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Dec 30, 2017

Nice overview to get into it.

By prasanth

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Oct 28, 2021

Good content on the basics

By Hector G R

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Jan 10, 2019

Pretty well course