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

1,666 個評分
357 條評論


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.


Apr 02, 2020

As i am not familiar with the VM and its environment, I spent more time struggling with the VM paths, initialization even with the pre command sets than doing the computation of the data.


126 - Big Data Integration and Processing 的 150 個評論(共 345 個)

創建者 Zhi Q

Jan 12, 2017

a wide spectrum of tools practiced. awesome!

創建者 Assaduzzaman N

Sep 26, 2017

This is a very good course in most aspects.

創建者 Tanuj P

Mar 01, 2018

Good assignments at the end of the course.

創建者 Jose L R

Oct 13, 2018

Great course! Please update the HandsOn.

創建者 Rajesh P

Nov 10, 2017

Very good course for understanding spark

創建者 Ian M

Feb 02, 2017

Lots of good hands-on and explanation...


Jan 23, 2018

Very good basic for further learning!!!

創建者 Swapnil D

May 12, 2019

Things are materialized in well manner

創建者 Juan J R M

May 10, 2017

Get a better description in the week 6

創建者 Luis A R

Jun 14, 2019

Excellent course, very good material.

創建者 Fernando A S G

Jun 14, 2017

Great hands on activities! Thanks!

創建者 vasudha k

Jan 16, 2019

amazing course great assignments

創建者 Bhrigu C

Jun 16, 2018

Great Teachers and great course

創建者 William S A

Aug 21, 2017

Excellent content and teachers.

創建者 leena

Feb 28, 2020

This is well organised course.

創建者 Lorie S

May 25, 2018

Great Course and interesting..

創建者 Ramachandran K

Jun 21, 2017

Excellent course and exercises

創建者 Ivan A

Aug 28, 2018

Interesting practise part.

創建者 Jose A B A

Dec 17, 2016

Excelent practical course

創建者 Víctor V B

Dec 03, 2016


創建者 Edgar H

Nov 13, 2016

Good last week practice!!

創建者 Sayed T S

May 28, 2017

It was A greate course


Oct 19, 2018

Thanks for the Course

創建者 Michel R

Nov 15, 2017

Perfect introduction.

創建者 Naman A

Mar 28, 2020

It was fun learning.