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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

1,565 個評分
330 個審閱


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+....



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.


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


101 - Big Data Integration and Processing 的 125 個評論(共 317 個)

創建者 Ali A

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.

創建者 Dhawal K

Feb 15, 2017

Big data integration and processing is a very nice theoretical course on big data integrations systems and also includes a bunch of practical exercises with big data integration products. The assignments including mongodb and apache spark are worth doing.

創建者 Farhan J H

Oct 17, 2016

Best course

創建者 Saleem K

Dec 08, 2016

The assessments are quite tough compared to the course examples. Moreover, some programming basics should be given or made to understand, especially in Spark, as these are very

創建者 Роксолана Д

Sep 14, 2017

Amazing course! A lot of practice which is relevant and interesting.

創建者 Miguel d l S T

Jan 13, 2017

interesting course, I learned a lot about MongoDB

創建者 sarsiz

Jun 28, 2017

Phew! This course was really tough(the last week's last quiz) You need to do extensive research on the subject for solving further problems which I really liked but it was quite difficult to understand and implement the same after reading from documentation

創建者 Tanver A

Apr 23, 2018

This course may be the easiest way to understand the underlying operations of tools for BD processing. Liked it so much. Learning @ Coursera is a fun.

創建者 刘学洲

Jan 23, 2018

It was really a wonderful experience. I love the forum and help me a lot .Thanks for all of you!

創建者 Linh N B

Oct 29, 2017

I learn a lot from this. I think it may have a bigger project as the final exam/grade. It would be more challenging. anyway, great course. Definitely recommended.

創建者 Juan A C S

Nov 27, 2016

It was a good course, different data sources and spark in action

創建者 Ujjwal A

May 18, 2017

Excellent course design, it gives you basic of MongoDB, Splunk and Apache Spark.

Happy learning and think BIG DATA

創建者 Prasad G

Apr 02, 2017

Course was excellent. I liked the hands on sessions the most. Not too easy and not too difficult. They encourage you to explore more and learn more.

創建者 Hamada I M

Jun 28, 2017

very good


Sep 09, 2017

Final assessment was very challenging, but was worth it. I wish we had few hands-on exercises earlier on to build upon for this finale. However, it was still a very rewarding experience. Thanks for putting together this wonderful course. Great work! I will surely recommend this course to my peers.

創建者 Rajesh P

Nov 10, 2017

Very good course for understanding spark

創建者 Luis M M R

Mar 08, 2018

very good

創建者 Suresh V

May 29, 2017

What a great relief, after passing that last quiz, it took my entire Memorial Day weekend, after the Microsoft Windows 10 Creators upgrade totally ruined my Virtualbox installation for the Cloudera QuickStart VM. Looks like that is a very very good quiz.

創建者 Sayed T S

May 28, 2017

It was A greate course

創建者 Michel R

Nov 15, 2017

Perfect introduction.

創建者 HONG H

Jun 16, 2017

good information, especially some hands on sparkSQL and spark streaming

創建者 Nicolas G

Sep 24, 2017

It was a nice experience for me, I consider a excelent course!!! Congratulations!!!

創建者 Mostafa M E

Jun 29, 2017

thank you

創建者 Hans E

Nov 03, 2017

Only the last test was a little too difficult (needed some more information to solve it). Have spend 3 days searching on the internet (:-(

Nice mix of theory and lots of nice hands -on

創建者 viper

Aug 17, 2017

Good course, except there are some obscure place need to be modify.