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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
1,791 個評分
384 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+....

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FC

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.

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.

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51 - Big Data Integration and Processing 的 75 個評論(共 371 個)

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 Lawrence O

Feb 27, 2017

This has been one of the best courses ever. A really good insight into big data. I will recommend it to all people trying to get into data scientist.

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 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 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 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 Simon B C

Mar 22, 2020

This course was the best of the big data courses by now. I liked the hands on and not to many hints. Let people figure it out by themselves.

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 Devon E

Aug 16, 2018

Very useful course. The instructors have the ability to cover a wide range of subjects very succinctly. Thank you very much for the course.

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 Miguel A R S

Oct 26, 2017

Although the explanation of all the topics is a little vague, most of the concepts are better understood during the hands-on activities.

創建者 Rick H

Nov 19, 2016

The lectures were very structured and informative. The quizes were challenging. The final week was demanding and fleshed out concepts

創建者 Nicholas S

Jan 08, 2020

I learned quite a bit about Big Data problems and the varioius technologies, especially Spark, that you can use for those problems

創建者 Mohamad K

Oct 02, 2019

Teaching about the quality and not quantity. It's a great course , i have learned a lot tech that used now days in our real life.

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 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 Anna K

Mar 23, 2020

It is a great hands on course. The problems were in setting up and configuring variety of software for completing projects.

創建者 Glenn B

Feb 09, 2017

I found this course like the others. I really liked the hands on labs. It gave a real feel for the programs being explained

創建者 David d

Mar 28, 2018

Out of the first three course, this has been the most challenging and the most interesting. Enjoyed the final assignement

創建者 Hua W

Dec 29, 2017

I learn both the basic ideas on the big data integration and processing, and the useful tools, like Spark, MongoDB, etc.

創建者 Ben W

Nov 12, 2016

Excellent..but not easy. Be prepared to have to do some research! But hey....isn't that part of being a data scientist!

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 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 Rahul P

Jul 23, 2019

The last exercise was worth all the effort. A huge thumbs up for the entire faculty involved with the course !!

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!