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學生對 加州大学圣地亚哥分校 提供的 Big Data Integration and Processing 的評價和反饋

4.4
1,654 個評分
353 條評論

課程概述

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+....

熱門審閱

AA

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.

DC

Oct 08, 2017

Very Interactive course. Theatrical classes are nicely drafted. Hands On exercises are interesting and some are challenging too. Overall very interesting course. Happy learning

篩選依據:

251 - Big Data Integration and Processing 的 275 個評論(共 342 個)

創建者 NFOTABONG F Q

May 31, 2017

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

創建者 Liliana d C C M

Jul 09, 2019

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

創建者 Ranjan K G

Apr 28, 2019

Good course to start learning Mongo DB and spark basically.

創建者 Juan H B S

Mar 29, 2018

Helpful and really cutting edge all the contents!

創建者 Kajal N

Mar 03, 2019

Great experience towards this course

創建者 Guillem C M

Nov 01, 2018

The final week is quite difficult

創建者 Soham G

Mar 01, 2020

little bit drastic and lengthy.

創建者 Mehul P

Dec 31, 2017

Nice overview to get into it.

創建者 Hector G R

Jan 10, 2019

Pretty well course

創建者 Jürgen B

Oct 31, 2018

Good overview.

創建者 Mario L

Aug 06, 2017

has bugs

創建者 HONGWEI Z

Oct 18, 2017

G

創建者 Johan A P O

Nov 10, 2019

Last week was a disaster in terms of giving the necessary educational resources. I found it extremely hard to finish the assignment because I couldn't understand the knowledge set required to do it.

I think you must work on making sure students are getting tailored to the functions that you will request them at the end. It was tremendously underwhelming to me to find such interesting tasks and finding myself unable to understand any clear path to perform even the first actions.

I had to research a lot out of the platform and dig up old replies in the forum just to have hints about what I had to do to find the answers you were requesting. If you consider that it's sufficient with what you explained, you're applying an unfair filter to students.

If you didn't mean that, please adjust either this whole module to focus on

* pyspark syntaxis

* clear use cases in Data retrieval and analysis

* evaluating the syntaxis of each function that you will request later

Or just change the last module to make it according to what you've taught. Thanks, even though I found these struggles, I was able to learn.

創建者 Tina L

Jan 16, 2018

The elaborations in video lecture sometimes are too complicated to understand. It should consider all students comes from different industry. For example, the disease/gene relationships, actually it can replaced by GeneA, DiseaseA, etc. Also, the slides are not clear enough for students to capture the outstanding points. It's not good for students to review since it's truly vague of the relationships between the list items. Overall, the lecture is just different to understand, even causing confusion sometimes.

創建者 ZHE C

May 07, 2017

the course content is critical and as it appears in many interviews, and the fundamental understanding is important for beginners to learn this new area. however I think the software (spark or mongoDB) can be taught in a more systematic way (at least point out some resources that can help people learn them based on individual needs). I understand this course is for beginners and people supposed to learn deeper on themselves. but a road map will be helpful and reduce the pain finishing the tests.

創建者 Lomiarz

Feb 04, 2017

The course was good enough...but exercises were very simple. Only the final course was little bit challenging. For a guy that sits in IT business for a while it's rather too simple. Besides, I've learned spark basics which is super cool...so thanks for that

Maybe you could consider to build docker image instead of using virtual machines. VM is ok, but I think that docker can simplify all the stuff without necessary downloading, installations etc.

Looking forward to the next spark challenges :)

創建者 To P H

Dec 24, 2018

Too many software issues/installation bugs hampering the learning process. The setup procedures for every quiz takes up around 80% of the time and only 20% actually answering the quiz. Please reduce the number of quiz or consolidate them for learners do that we only need to do setup once. Mentor/Instructor presence in various discussions in which students encounter setup/installation issues are next to full absence and many sudents are left figuring out the problems themselves

創建者 Tomas M

Jul 27, 2017

While the contents are very interesting and the lectures very thorough the practical side has many draw backs. For instance: Connections to PostgresSql did not work even reading the FAQs, same with streaming data in spark. There are not enough examples on syntax and coding to correctly do the assignments. Overall I am happy with the course but it needs some improvements.

創建者 Ivan M H C

Sep 08, 2019

So, in general, the course provides you with significant knowledge about big data integration processing, however there were simple exercises that could be done faster if there were no problems executing the commands. This problem leads students to quit the course.

I request the staff correct those errors in order to increase the approval rate.

創建者 David T

Oct 23, 2016

Good experience of using the big data tools but a total lack of engagement in the forums by the instructors and community mentors make it hard going if anything goes wrong. The final quiz took me over 8 hours mostly because there was no one to ask for hints when I was totally stuck and confused!

創建者 Joren Z

Jul 05, 2017

The course covers interesting materials and seems thorough. It's mostly lectures and reading, and not so much actually working with the technology. Since the latter tends to be the hardest part, the overall difficulty remains on the low end of the scale.

創建者 Rashmi U

Nov 28, 2016

I feel the contents of this course were great, no second thought on it. It makes your concepts crystal clear. But faced lots of issues during practicing the hands on exercises and did not get proper feedback or response on any of the queries.

創建者 shruthi r

Jul 07, 2019

The hands on dataset installation had lots of problems while installing and spark and mongodb hardly worked even after multiple installations and i had tried many ways to get it to work but there was no benifit.

創建者 Ken C

Oct 15, 2017

Lots of technical issues with assignments. Spent a lot of time troubleshooting issues that have been around for 9 months or more and never addressed. Seems like this course has been abandoned by creators.

創建者 Ahmed R

Sep 19, 2019

Content was up to date but practice exercises are limited to Cloudera platform as well as too old. Need to be updated with more use cases and more exercises.

Thanks Coursera :)