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学生对 University of California San Diego 提供的 Big Data Integration and Processing 的评价和反馈

4.4
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2,428 个评分

课程概述

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+....

热门审阅

AG

Oct 8, 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.

EK

Dec 28, 2019

Assigments would be more complexity but for a beginner they are enough to understand framework. More code practice should be presented. They need to be repeated to remember of syntax

筛选依据：

151 - Big Data Integration and Processing 的 175 个评论（共 514 个）

创建者 DHANRAJ N

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Jul 11, 2019

This course is very interactive and practical.

创建者 Srishti R

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Mar 4, 2019

Great experience towards learning this course

创建者 Nick B

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Nov 28, 2018

Enjoyed the class. It was very enlightening.

创建者 Darius T

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Jan 1, 2018

Great course for learning MongoDB and pySpark

创建者 SARSAR M E M

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Jul 29, 2020

very interesting course for big data fans :)

创建者 Zhi Q

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Jan 12, 2017

a wide spectrum of tools practiced. awesome!

创建者 Assaduzzaman N

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Sep 26, 2017

This is a very good course in most aspects.

创建者 SNEHADEEP Y S

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Jun 5, 2020

Excellant Great exeperince learning course

创建者 Tanuj P

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Feb 28, 2018

Good assignments at the end of the course.

创建者 Amarendranadh C P

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Jan 22, 2022

The course is well explained and designed

创建者 AISHWARYA V S

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May 26, 2020

Very interesting and informative course.

创建者 Jose L R

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Oct 13, 2018

Great course! Please update the HandsOn.

创建者 Rajesh P

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Nov 9, 2017

Very good course for understanding spark

创建者 Ian M

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Feb 2, 2017

Lots of good hands-on and explanation...

创建者 Suhail M

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Jul 16, 2020

Need More Hands on except that all good

创建者 YEVHEN K

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Jan 23, 2018

Very good basic for further learning!!!

创建者 Swapnil D

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May 12, 2019

Things are materialized in well manner

创建者 Juan J R M

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May 9, 2017

Get a better description in the week 6

创建者 Luis A R

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Jun 14, 2019

Excellent course, very good material.

创建者 RENNETTI G

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Mar 27, 2023

Difficult , but very veru interested

创建者 Manish T

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Jul 26, 2020

excellent course with good hands on

创建者 Fernando A S G

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Jun 14, 2017

Great hands on activities! Thanks!

创建者 Aarush N

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Sep 28, 2021

Excellent Course must try for all

创建者 Amit K M

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Oct 8, 2020

EXCELLENT VIDEOS AND CONTENTS...

创建者 Nawaf S B H

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Jul 25, 2020

very well done and simple course