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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
2,234 個評分
477 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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SB
2020年10月21日

Hello Gentlemen,\n\nThis course was very helpful foe me. It enhanced my knowledge about Big Data Integration. Thank you so much for providing me such important knowledge. Thank you once again.

FC
2016年9月24日

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.

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451 - Big Data Integration and Processing 的 463 個評論(共 463 個)

創建者 Avishai G

2019年3月30日

The course is ok until the final project which is totally not compatible with the level of the hands on during the course ,the final project is a mess

創建者 Abdelali E M

2019年3月10日

Les fonctions ne fonctionnent pas sur Jupyter. Il faut revoir ces TP !! j'ai perdu beaucoup de temps à chercher sur internet les bonnes fonctions.

創建者 Manuel M B

2020年10月22日

It's a good course but sadly there is no support from TA. Cloudera Virtual Machine Does not work well. I have to use a Docker image of pyspark.

創建者 Shubhradeep B

2019年8月25日

anaconda file not working when bigdata3 file is extracted. Very bad experience in doing the project. Local host 8889 not opeening. Dont know why

創建者 Kjell L

2016年9月12日

The course cost too much for the gain of knowledge. Feels like this course could be merge with the first or the third course.

創建者 KOSURU V R S

2020年5月15日

the programming assignments are designed very poorly. it takes lot of time to install and trouble shoot the installation.

創建者 claudio f

2016年11月30日

Poorly designed, no help whatsoever from the staff, Forum is totally worthless. Worst course I ever had on Coursera.

創建者 KAY A

2019年5月7日

It is very difficult when the environments don't work. This course has been very difficult to navigate

創建者 Anatolie P

2019年12月12日

No any support, the soft versions are old. The control data in quiz does not correspond to real data

創建者 Ricardo L C T

2017年5月21日

the quiz at the end is impossible to solve with the course content.

創建者 Alex B

2019年9月17日

learning data is corrupted. nothing works

創建者 Ana P V

2021年2月10日

Many problems installing pyspark

創建者 Xizhe Y

2016年11月6日

Awful