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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
1,885 個評分
397 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.

篩選依據:

251 - Big Data Integration and Processing 的 275 個評論(共 385 個)

創建者 Omprakash S

Jan 16, 2018

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

Mar 04, 2019

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

Apr 11, 2018

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

Nov 02, 2017

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

Sep 17, 2017

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

Oct 15, 2017

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

創建者 Bhola N R

Dec 04, 2018

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

Dec 01, 2018

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

Feb 10, 2018

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

創建者 Devi V V

Jan 23, 2017

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

創建者 Gustavo J

Nov 16, 2017

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

創建者 Ahmad M E R

Mar 01, 2019

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

創建者 Cordell M

Jul 22, 2017

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

創建者 Xiuting W

Mar 25, 2019

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

創建者 Benh L S

Feb 27, 2020

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

創建者 Ripunjay K

Dec 13, 2019

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

創建者 Gabriel T

Feb 01, 2018

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

創建者 Jamal A

Apr 28, 2017

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

創建者 Stig

Nov 20, 2017

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

創建者 Suraj J W

Aug 03, 2019

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

創建者 Emmanuel S

Apr 11, 2020

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

創建者 Tatiana V

Oct 29, 2017

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

創建者 Gustavo I M

Jan 20, 2019

Too easy until week 5. And in the week 6 disproportionate evaluations

創建者 YU-CHIA, H

Jul 10, 2018

A great tutorial for beginner, it is better if there is more practice

創建者 Frank C

Dec 21, 2016

Very well explained!! This course and specialization are really good!