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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

1,562 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


26 - Big Data Integration and Processing 的 50 個評論(共 317 個)

創建者 Antony C

Apr 05, 2018

I enjoyed this module because the theory, hands on and quiz tests were balanced.

創建者 Sita R P G

Dec 11, 2016

The Spark introduction and exercises were good. It would be an added advantage if the final steps/answers also get published.

創建者 Anup K M

Apr 22, 2018

very good

創建者 Tarun K

Mar 13, 2018

Its amazing, Fantastic, Fabulous, learnt a new technique or technology for the data integration & processing

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 loveneet k

May 04, 2018

Comprehensive hands on excercies. Excellent final project. Its provide good platform for you to explore and do projects in spark and mongodb

創建者 Piero T

Dec 05, 2016

The best course so far (still not doing 4,5,6). It is more complex than the first two.

創建者 Jose A R N

Oct 12, 2017

Rate this Course

My name is Jose Antonio. I am looking for a new Data Scientist career (

I did this specialization to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.


Jose Antonio.

創建者 Carlos M P M

Jun 05, 2018


創建者 Mohamed M G F

May 01, 2017

I enjoyed this course. I learnt a lot of stuff about Big Data processing in a simple and clear way.

創建者 Víctor V B

Dec 03, 2016


創建者 Fernando G d L V

Aug 25, 2017

Great final exercise, I had to review and read so much spark.

創建者 Clement F

Oct 26, 2017

The overall structure of the course was as per my expectations. I have enough leads to learn and explore more. Thank you folks for the great job!

創建者 Lukáš B

Dec 15, 2017

You will definitely not spend time effort which is declared, because it is very time consuming to find solution, but it is very valuable.

創建者 Luca M

May 29, 2017

Great course, only a bit difficult on Spark assignment for the people that are not familiar (or a bit rusty) with python and programming.

Thanks again


創建者 Abiven J C

Oct 29, 2017

Very interesting.

創建者 Akshay V

Nov 19, 2016

It was a very helpful course in understanding of the Big Data Integration and Processing. Learned a lot.

Thanks to the instructors and Coursera team.

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 yuansj

Feb 24, 2018

very good hands on

創建者 Edgar H

Nov 13, 2016

Good last week practice!!

創建者 andrew c

Dec 24, 2016

Good amount of theory and also hands-on exercises with some of the tools.

創建者 Utsav P

Feb 06, 2017

I learned a lot of implementation of the techniques and concepts that were covered earlier. A great experience.