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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
1,565 個評分
330 個審閱

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:

226 - Big Data Integration and Processing 的 250 個評論(共 317 個)

創建者 A S K

May 19, 2018

Contents are good. The structure of the course is amazing. Must do program to have an insight into the BigData Integration as this will open basic processing techniques and about few of the tools used in BigData a overview of the same.

創建者 Anurag S

Sep 13, 2018

The course content is very well thought out and presented.

Hands-on exercises remain a challenge as many things don't work. It takes the mindset of problem-solving (not just in big data, but also in debugging, figuring out how to get different scripts to run, how to set environment variables etc.) to be able to complete all exercises in this course. I suspect that many people might get discouraged and quit the course midway.

The final week's exercises did test my programming skills to a very large extent but gave me a good understanding of the course concepts.

A very good course overall.

創建者 Devendra S

Sep 29, 2018

great course, it's quite challenging.

however the setup for quiz was not working for Spark analysis. Reinstalling Spark and associated jar took my time in doing R&D on net to find the solution to run Spark with the mentioned jar files. Overall it's very good course

創建者 Norman L

Sep 01, 2018

The Spark component was especially useful when it went into depth about architecture and implementation. Also appreciated the coverage of MongoDB

創建者 Gopi N

Oct 30, 2018

Need more hands-on for final test, would really help to have extra two weeks split with just good handson. Before final test

創建者 Jürgen B

Oct 31, 2018

Good overview.

創建者 Guillem C M

Nov 01, 2018

The final week is quite difficult

創建者 Rozina S

Apr 22, 2019

It would be really helpful if there were full time teaching assistant whom we could directly contact for queries, since questions on forum many times go unanswered.

創建者 Ranjan K G

Apr 28, 2019

Good course to start learning Mongo DB and spark basically.

創建者 Guilherme D C T

May 13, 2019

The final project is a bit tough but worth it. If you manage to finish it you'll have a new understanding of Spark RDDs and DataFrames.

創建者 Suraj J W

Aug 03, 2019

A BIG THANKS for all your help to learn others about this new technology.

創建者 Diogo M

Aug 07, 2019

Some problems occur in VM and the use of virtualbox is not good, I use vmware, because I find some problems to run Virtualbox in my PC.

The course needs update.

創建者 Rohit G

Jul 09, 2019

Environment setup instructions for final assignment do not work as expected and need to be updated to avoid time spent in troubleshooting.

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 Carlos M

Sep 24, 2019

It was a good overview; however I feel that there are not enough examples of streaming processes. Also an example on how to integrate a relational source with a NoSQL one will be valuable for the learners.

創建者 Gnana P B

Oct 15, 2019

It is good course. Some instructions followed not working, course instructions and supplied resources requires update. thank you

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 Rahul R

Jun 08, 2017

The course material is not sufficient to work out the exercises. For the Spark final quiz you will have to take up another course to pass this one.

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 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 Erik P

Oct 14, 2017

very nice, just wish the environment was using docker instead of virtual machines

創建者 Anirudh

Dec 25, 2016

some of the stuff was not mentioned properly, like for last quiz how to expoert data from mongodb

創建者 Konstantin K

Mar 01, 2018

All is good except the Splunk case

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 Tatiana M

Feb 28, 2017

A little slower than the last ones, not my favorite but great use of hands-on projects and enagagement