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Back to Big Data Integration and Processing

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

4.4
stars
2,416 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 鈥淎bout This Mac.鈥� 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

AA

Mar 6, 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.

SB

Oct 22, 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.

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251 - 275 of 513 Reviews for Big Data Integration and Processing

By MARTIN M

鈥�

Jan 25, 2021

Awesome!

By Sorgo W C

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Aug 3, 2020

exellent

By Suraj P

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Jun 14, 2020

Good one

By Harsh D

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Oct 12, 2018

nice one

By MR. G L

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Jun 28, 2020

amazing

By ASHUTOSH S

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Sep 1, 2019

awesome

By Shekh A

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Jul 31, 2019

Awesome

By Jos茅 G d A L N

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Dec 5, 2018

Perfect

By Kavita R L

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Dec 23, 2020

Good

By GOKUL M B

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Sep 25, 2020

good

By RAGHUVEER S D

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Jul 25, 2020

good

By Anvitha K

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Jun 17, 2020

nice

By Aji N J

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May 25, 2020

good

By Maansi S

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May 22, 2020

good

By aleksei a

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Mar 20, 2020

good

By Arthur-Lance

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Sep 25, 2017

cool

By Dat L T

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Feb 27, 2025

fsf

By SHAKTHI S

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Jun 3, 2020

Gud

By Mostafa R

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Feb 15, 2020

...

By bagiya k

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Sep 6, 2020

no

By Mahesh P

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Oct 9, 2018

V

By Irfan S B

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Oct 19, 2017

G

By CHEMAK C

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Oct 13, 2016

G

By Santiago V M

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Oct 22, 2020

El curso fue muy util e interesante, y mucho de lo aprendido sirve para aplicarlo en el mundo laboral de la sociedad actual. Me gustaron los m贸dulos que ten铆a y los distintos retos que propon铆a. Sin embargo, se nota que el curso no est谩 actualizado en t茅rminos de las herramientas que pide utilizar lo que frena mucho la fluidez del aprendizaje. Por otro lado, se nota que los mentores y profesores no est谩n pendientes del curso. En el foro hay preguntas que se repiten y se repiten y no hay respuesta por ning煤n lado de nadie distintas a otros estudiantes que, o tienen las mismas dudas, o que lograron de alguna forma resolver la duda. Pienso que al ser denominado como curso, alguien debe estar pendiente de las dudas que puedan surgir.

By Michael L

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Mar 22, 2020

I especially enjoyed the hand-on exercise of week 6 and all-in-all the lectures. They give a good overview on various data integration tools.

Though, I think the virtual machine and some documentation around it needs an update. If you do not finish exercises in one sweep, it is often not obvious how to restore the original settings. I think I've spent almost the same time trying to get the environment on my virtual machine running as with the actual doing in the exercise. I know that this might even reflect the life of a data scientist but some checker scripts which test, if hadoop is running properly, environment variables are set correct, the right version of java is in the path, and so on would be really helpful.