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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
1,581 個評分
331 個審閱

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.

DC

Oct 08, 2017

Very Interactive course. Theatrical classes are nicely drafted. Hands On exercises are interesting and some are challenging too. Overall very interesting course. Happy learning

篩選依據:

176 - Big Data Integration and Processing 的 200 個評論(共 318 個)

創建者 Hector G R

Jan 10, 2019

Pretty well course

創建者 AJIT M

Feb 05, 2019

Great Course! Provides a good exposure to the tools and utilities. The database part has been done well. The part with the Spark needs some more info on how to use the data frames.

創建者 Apurva T

Feb 21, 2019

The quiz was a bit difficult since there was no much guidance on how to sort in descending order and how to find the total times a country was mentioned in a single tweet.

創建者 Kajal N

Mar 03, 2019

Great experience towards this course

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 Xiuting W

Mar 25, 2019

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

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 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 NFOTABONG F Q

May 31, 2017

Very interesting course, and a good practical exercise at the end

創建者 austin p

Dec 04, 2016

Some of the lectures seemed slightly lesser quality with regards to the materials. For moocs especially, I would like to have the lecture better documented in order to download and review later.

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 Amol G

Oct 09, 2017

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

創建者 Francisco J

Aug 29, 2017

PSpeaker who is a man is not very good communicating the lectures it's very difficutl to follow him as his tone is not very good for e-learning.

創建者 arnaud j

Jun 04, 2017

The virtual machine for running the environment is, at start, a good idea. But even with 8 core i7 with 8G of RAM laptop, it was sometime painful to process the exercices. Maybe an ubuntu/virtualbox/laptop compatibility...

創建者 ISLAM K

Mar 26, 2018

this course is great , its giving many hands-on sessions that allow the student to be on the way of being professional in this career

創建者 Parminder K

Jun 23, 2018

Its a bit tough for students having less knowledge in programming to go through Week 6. Kindly revise the Study material to help learners cope up with tha challenges of Week 6 Quizzes

創建者 Mehul P

Dec 31, 2017

Nice overview to get into it.

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 Neil C

Sep 24, 2016

I felt this module, like most, represented good value for money. It's obviously not exhaustive, but you shouldn't expect it to be for the price.

The final quiz was a nice challenge and struck a good balance between course material and requiring you to research information online.

創建者 Frank C

Dec 21, 2016

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

創建者 Stig

Nov 20, 2017

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

創建者 Chiranjib G

Dec 12, 2017

The course did not cover in detail the use of PySpark that was required for final submission. Overall a good course to get basic introduction into different Databases and then you can learn in details on your own!

創建者 Jose D G R

Oct 15, 2017

There's the need for more examples, even some errors, so we can learn the importance of some syntax errors and how to know or to solve them.

Overall information is good and the examples/questionnaires but maybe more syllabus or links to info that helps improve what it's learned.

創建者 Joao C C d F P d C

Nov 30, 2016

I had a considerable difficulty with the last exercise because it seams to aim to a different level of students than the ones that followed the rest of the course. I would suggest to put the rest of the course, videos, exercises, etc. to the level of the fine_project which, in my opinion, is the correct level.