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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
1,627 個評分
343 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+....

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.

SK

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

篩選依據:

151 - Big Data Integration and Processing 的 175 個評論(共 332 個)

創建者 jamal a

Oct 10, 2016

Great course !!!

創建者 Esteban E C

Nov 30, 2018

Great course :)

創建者 Pijush K G

Jun 03, 2018

Good tutorial.

創建者 André G P

Nov 09, 2018

Great course.

創建者 Qinghua Z

Jan 13, 2018

Great course!

創建者 Pasawat S

Jun 29, 2019

very useful

創建者 Daniel P M

Feb 01, 2018

Excelent!!!

創建者 Farhan J H

Oct 17, 2016

Best course

創建者 Alexander C

May 26, 2017

Excellent!

創建者 Arnold J

Aug 19, 2018

beautiful

創建者 Carlos M P M

Jun 05, 2018

Awesome!!

創建者 Anup K M

Apr 22, 2018

very good

創建者 Luis M M R

Mar 08, 2018

very good

創建者 胡阳

Sep 25, 2017

very good

創建者 Mostafa M E

Jun 29, 2017

thank you

創建者 Hamada I M

Jun 28, 2017

very good

創建者 Edgar R E B

Jun 20, 2017

Excelent.

創建者 Jitender S V

Jun 17, 2017

Excellent

創建者 Thuong D H

Oct 06, 2016

It's good

創建者 HARSH K D

Oct 12, 2018

nice one

創建者 ASHUTOSH S

Aug 31, 2019

awesome

創建者 Shekh A

Jul 30, 2019

Awesome

創建者 José G d A L N

Dec 04, 2018

Perfect

創建者 Arthur-Lance

Sep 24, 2017

cool

創建者 mostafa r m

Feb 15, 2020

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