Chevron Left
返回到 Big Data Integration and Processing

学生对 加州大学圣地亚哥分校 提供的 Big Data Integration and Processing 的评价和反馈

4.4
2,367 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

SB

Oct 21, 2020

Hello Gentlemen,

This 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

Mar 5, 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.

筛选依据:

1 - Big Data Integration and Processing 的 25 个评论(共 502 个)

创建者 Scott M

Mar 19, 2018

创建者 Sylvain O

Apr 2, 2020

创建者 Dwayne D

Jul 27, 2018

创建者 Jason R

Oct 21, 2017

创建者 Andreas D S

Apr 21, 2019

创建者 Alireza A B

Oct 21, 2017

创建者 Ali A

Mar 6, 2018

创建者 Sam M

Feb 18, 2018

创建者 harouna m k

Sep 12, 2020

创建者 Brian M

Oct 13, 2018

创建者 Manoj D

Oct 29, 2018

创建者 Phillip M

Sep 3, 2017

创建者 José A R N

Oct 12, 2017

创建者 Sagar

Dec 12, 2019

创建者 Deleted A

Nov 28, 2017

创建者 Chinmaya b

Jun 19, 2017

创建者 Hafiz M H T

Dec 5, 2016

创建者 Basil C

Feb 11, 2020

创建者 Sukanta M

Nov 15, 2017

创建者 LINESH D

Sep 9, 2017

创建者 Jamiil T A

Oct 7, 2018

创建者 Prospero-Martin R

Jun 9, 2018

创建者 Federico S

Apr 13, 2018

创建者 King W N

Jan 5, 2018

创建者 Roberto G C

Jul 23, 2018