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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
1,565 個評分
330 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.

SK

Dec 08, 2016

The assessments are quite tough compared to the course examples. Moreover, some programming basics should be given or made to understand, especially in Spark, as these are very

篩選依據:

151 - Big Data Integration and Processing 的 175 個評論(共 317 個)

創建者 Jude O

Nov 06, 2018

This course was a bit tough but I am excited I completed it.

創建者 André G P

Nov 09, 2018

Great course.

創建者 Xing Z

Jul 19, 2018

Excellent course! I have learnt and practiced a lot of stuff!

創建者 HARSH K D

Oct 12, 2018

nice one

創建者 Jose L R

Oct 13, 2018

Great course! Please update the HandsOn.

創建者 Nishant U

Apr 16, 2019

Amazing part of the specialization where first time interacted with spark and mongodb, great tech

創建者 dstart

Apr 26, 2019

Very good introductory course. It makes you want to continue to learn about Spakr and MongoDB.

創建者 Andres H

May 11, 2019

That's an excellent course I've Learned a lot about not just the Platforms Basics but also how to perform basic operations in Mongo, the tests and the practical exercises also were well planned to ensure that you know what are you doing.

創建者 Swapnil D

May 12, 2019

Things are materialized in well manner

創建者 Emilio M

Jun 24, 2019

very good course

創建者 Pasawat S

Jun 29, 2019

very useful

創建者 Rahul P

Jul 23, 2019

The last exercise was worth all the effort. A huge thumbs up for the entire faculty involved with the course !!

創建者 Wania K

Jul 30, 2019

I found this quite beneficial for me, as it provide all the relevant knowledge that is required to know all about Big Data Integration and Processing. Thanks coursera for providing such a platform to everyone.

創建者 Shekh A

Jul 30, 2019

Awesome

創建者 Misty S

Aug 28, 2019

This course is very good, however not for beginners because one needs some background base for traditional databases and some math skills. Otherwise the course content is good and the assignment really makes the concepts understandable and clear.

創建者 Estefania L

Jul 04, 2019

A fundamental and theoretical course for beginners. This course taught about the big data pipeline and the different tools involved in the data analysis process.

創建者 DHANRAJ N

Jul 12, 2019

This course is very interactive and practical.

創建者 ASHUTOSH S

Aug 31, 2019

awesome

創建者 Luis A R

Jun 14, 2019

Excellent course, very good material.

創建者 KANWALJEET S L

Sep 26, 2019

Awesome able to learn integration with various Big Data Tools

創建者 Mohamad K

Oct 02, 2019

Teaching about the quality and not quantity. It's a great course , i have learned a lot tech that used now days in our real life.

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 Billu

Dec 21, 2018

Technical support for hands-on work is ridiculously out of date at the rare occasion it is available. and i’m paying for this course!

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 Hector G R

Jan 10, 2019

Pretty well course