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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
2,274 個評分
488 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.

AA
2018年3月5日

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.

篩選依據:

301 - Big Data Integration and Processing 的 325 個評論(共 476 個)

創建者 Gnana P B

2019年10月15日

It is good course. Some instructions followed not working, course instructions and supplied resources requires update. thank you

創建者 Gopi N

2018年10月30日

Need more hands-on for final test, would really help to have extra two weeks split with just good handson. Before final test

創建者 Omprakash S

2018年1月15日

More Hands on experience should be included.

Reading of Apache Spark documentation should be made mandatory for beginners.

創建者 Rafael T P d S

2019年3月4日

The last quiz was very hard to complete. I didn't found enough content to solve que questions in the course material.

創建者 Samarth S

2018年4月11日

Need more explainaion. There are few videos such as that of RDD where I found difficulty in understanding the concept

創建者 Jyothi-Raghav J

2017年11月2日

Except for the exercise where it was frustrating to get the Spark Streaming to work, it was a very good learning.

創建者 Mohamed

2017年9月17日

Need a references for any one want to read more about each subject. I recommend have it at the end of each Week.

創建者 Prashant K

2017年10月15日

Helpful course to learn the basic components and processing on Apache Spark. Course quiz for MongoDB is great.

創建者 Bhola N R

2018年12月4日

The assignments for Week6 was really tough, request to provide more hints or support in completing the same.

創建者 Juan J S O

2018年12月1日

I learnt a lot in this course, but is hard. Many times the instructions in the assignments were not enough.

創建者 Manish S

2018年2月10日

For better practice, more question sets should be provided apart from the quizzes that we already have.

創建者 Devi V V

2017年1月23日

course is very good. Excercises are very good. learnt alot about the mongodb and spark sql and RDD's

創建者 Gustavo J

2017年11月16日

This is mre interesting than the previous courses on the Big Data Specialization. More hands on...

創建者 Ahmad M E R

2019年3月1日

The most interesting part in this course dealing with spark and the final quiz is really amazing

創建者 Cordell M

2017年7月22日

that last spark exam was really hard. the script took a long time to finally get working

創建者 Xiuting W

2019年3月25日

Useful course. Give more examples of small projects would make this course better.

創建者 Benh L S

2020年2月27日

Very good, but a few glitches with the instructions to setup PySpark in my view.

創建者 Ripunjay K

2019年12月13日

Good course to enhance knowledge. Data sheet for code should be given separately

創建者 Gabriel T

2018年2月1日

Awesome lectures and hands-on. Learned a whole lot. Thanks for a great course.

創建者 Jamal A

2017年4月28日

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

創建者 Yujie G

2020年11月3日

Some of the cousera material is not clear and also the final quiz is too hard

創建者 Stig

2017年11月20日

I some issues with installation of the right versions for assignments etc.

創建者 Suraj J W

2019年8月3日

A BIG THANKS for all your help to learn others about this new technology.

創建者 Emmanuel S

2020年4月11日

Some explanations can be improved. I've flagged the ones I didn't like.

創建者 Tatiana V

2017年10月29日

The last test was too hard for those without background in programming