Chevron Left
返回到 Big Data Integration and Processing

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.


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


76 - Big Data Integration and Processing 的 100 個評論(共 317 個)

創建者 Fernando E

Nov 13, 2016

Very challenging, specially in the week 6 quizzes where a lot of researching took place in order to pass it.

創建者 Edgar R E B

Jun 20, 2017


創建者 Carlos E R M

Apr 11, 2017

One of the best ways to start to be in contact with the real Big Data Tools

創建者 Raunak S

Apr 15, 2018

great course for those who have a basic level knowledge of big data and then desire to upgrade to a higher level.

創建者 Shipra G

Apr 27, 2018

One of the best course fro beginners in Big data

創建者 Qinghua Z

Jan 13, 2018

Great course!

創建者 Juan J R M

May 10, 2017

Get a better description in the week 6

創建者 Ramachandran K

Jun 21, 2017

Excellent course and exercises

創建者 Federico A G C

Sep 25, 2016

Best course taking into account the first three. Good material, more in depth than the other ones. Very well explained. Useful to get a sense of various interesting topics and orientative.

創建者 JY

Apr 20, 2017

Very Good Course! I'd never used spark before, and doing (and passing) the assignment on it was very rewarding!

創建者 Andrea C

Oct 15, 2016

Course is well balanced between theory and practical exercises. Assignments in week 6 for me was challenging but very instructive. I learned many interesting, and useful in real world, things.

創建者 Sivakumar A

Feb 23, 2018

This course covered a lot of topics at a decent level, and provides a good platform for those interested in taking a deeper dive into specialization courses. I enjoyed the course content, as well as the hands on exercises/quizzes.

Thank you!

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 Antony C

Apr 05, 2018

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

創建者 xavier s

Aug 31, 2017

theoric and practise, very usefull course to have a first concret view of data manipulation with some kinds of big data api.

創建者 Hafiz M H T

Dec 05, 2016

wonderful course but information much more condense for beginners for this course is hard because lots of error and even no solution on cloudera community blog. first experience with Mongodb after this course i am able to say that yes i have knowledge how to work with mongo and spark at beginners level.

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 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 Anthony W U

Dec 21, 2016

This course is great!!! I love the handson most. Working with tweet text was really challenging for me but it was worth the time and effort.

創建者 William S A

Aug 21, 2017

Excellent content and teachers.

創建者 roopesh d

Aug 22, 2017

very nice. easy to understand and great hands on exercises.

創建者 jamal a

Oct 10, 2016

Great course !!!

創建者 Daniel P M

Feb 01, 2018