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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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151 - 175 of 513 Reviews for Big Data Integration and Processing

By DHANRAJ N

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Jul 12, 2019

This course is very interactive and practical.

By Srishti R

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Mar 5, 2019

Great experience towards learning this course

By Nick B

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Nov 28, 2018

Enjoyed the class. It was very enlightening.

By Darius T

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Jan 1, 2018

Great course for learning MongoDB and pySpark

By SARSAR M E M

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Jul 29, 2020

very interesting course for big data fans :)

By Zhi Q

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Jan 12, 2017

a wide spectrum of tools practiced. awesome!

By Assaduzzaman N

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Sep 27, 2017

This is a very good course in most aspects.

By SNEHADEEP Y S

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Jun 6, 2020

Excellant Great exeperince learning course

By Tanuj P

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Mar 1, 2018

Good assignments at the end of the course.

By Amarendranadh C P

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Jan 23, 2022

The course is well explained and designed

By AISHWARYA V S

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May 26, 2020

Very interesting and informative course.

By Jose L R

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Oct 13, 2018

Great course! Please update the HandsOn.

By Rajesh P

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Nov 10, 2017

Very good course for understanding spark

By Ian M

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Feb 3, 2017

Lots of good hands-on and explanation...

By Suhail M

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Jul 17, 2020

Need More Hands on except that all good

By YEVHEN K

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Jan 24, 2018

Very good basic for further learning!!!

By Swapnil D

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May 12, 2019

Things are materialized in well manner

By Juan J R M

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May 10, 2017

Get a better description in the week 6

By Luis A R

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Jun 15, 2019

Excellent course, very good material.

By RENNETTI G

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Mar 27, 2023

Difficult , but very veru interested

By Manish T

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Jul 27, 2020

excellent course with good hands on

By Fernando A S G

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Jun 14, 2017

Great hands on activities! Thanks!

By Aarush N

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Sep 29, 2021

Excellent Course must try for all

By Amit K M

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Oct 8, 2020

EXCELLENT VIDEOS AND CONTENTS...

By Nawaf S B H

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Jul 26, 2020

very well done and simple course