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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
2,272 個評分
488 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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SB
2020年10月21日

Hello Gentlemen,\n\nThis 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
2018年3月5日

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:

326 - Big Data Integration and Processing 的 350 個評論(共 475 個)

創建者 YU-CHIA, H

2018年7月10日

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

創建者 Frank C

2016年12月21日

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

創建者 Siddhartha

2020年4月29日

Very interesting course. It was good working with MongoDb platform

創建者 Sabawoon S

2018年1月23日

Very good content, The last quiz was more about python than spark.

創建者 Pradhyumn A

2020年6月4日

some of the working files created mischief so it ruined the swing

創建者 NFOTABONG F Q

2017年5月30日

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

創建者 Liliana d C C M

2019年7月9日

Muy bueno, aprendí mucho, sobre todo en el trabajo de curso

創建者 Ranjan K G

2019年4月28日

Good course to start learning Mongo DB and spark basically.

創建者 fridolin m

2021年7月17日

updating the files of hands-on experience will be helpful.

創建者 Ing. J H B S

2018年3月29日

Helpful and really cutting edge all the contents!

創建者 Giovanny F F F

2020年8月3日

Need to explain more about the syntax in spark.

創建者 Puneeth K R

2020年11月1日

it's very intresting to learn this course

創建者 Chika E

2020年8月2日

Had some analysis issues at the end.

創建者 Kajal N

2019年3月2日

Great experience towards this course

創建者 Guillem C M

2018年11月1日

The final week is quite difficult

創建者 Soham G

2020年3月1日

little bit drastic and lengthy.

創建者 Shamel D

2020年12月25日

Spark is not an easy language

創建者 Mehul P

2017年12月30日

Nice overview to get into it.

創建者 Hector G R

2019年1月10日

Pretty well course

創建者 Muhammad N S

2021年4月8日

Thankyu coursera

創建者 LINGAM S

2020年7月10日

Good Experience

創建者 Vidit K

2021年3月20日

I learnt a lot

創建者 Jürgen B

2018年10月31日

Good overview.

創建者 Alejandro S M

2020年4月23日

Great for db

創建者 Mario L

2017年8月6日

has bugs