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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.

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151 - Big Data Integration and Processing 的 175 個評論(共 476 個)

創建者 Jose L R

2018年10月13日

Great course! Please update the HandsOn.

創建者 Rajesh P

2017年11月10日

Very good course for understanding spark

創建者 Ian M

2017年2月2日

Lots of good hands-on and explanation...

創建者 Suhail M

2020年7月17日

Need More Hands on except that all good

創建者 YEVHEN K

2018年1月23日

Very good basic for further learning!!!

創建者 Swapnil D

2019年5月12日

Things are materialized in well manner

創建者 Juan J R M

2017年5月9日

Get a better description in the week 6

創建者 Luis A R

2019年6月14日

Excellent course, very good material.

創建者 Manish T

2020年7月26日

excellent course with good hands on

創建者 Fernando A S G

2017年6月14日

Great hands on activities! Thanks!

創建者 Amit K M

2020年10月8日

EXCELLENT VIDEOS AND CONTENTS...

創建者 Nawaf S B H

2020年7月25日

very well done and simple course

創建者 vasudha k

2019年1月16日

amazing course great assignments

創建者 Sarah K

2020年7月25日

Awesome lecturers and contents!

創建者 Bhrigu C

2018年6月16日

Great Teachers and great course

創建者 William S A

2017年8月21日

Excellent content and teachers.

創建者 leena

2020年2月28日

This is well organised course.

創建者 Lorie S

2018年5月25日

Great Course and interesting..

創建者 Ramachandran K

2017年6月21日

Excellent course and exercises

創建者 BOUZ A

2020年7月6日

GOOD ONE !

I LOVE THE TEACHERS

創建者 S S S

2020年6月11日

Nice course for data analysis

創建者 Yuncheng L

2021年5月25日

hard as fk but so nutritious

創建者 Velampudi R

2020年7月9日

The course was exceptional

創建者 Ivan A

2018年8月28日

Interesting practise part.

創建者 bcsf16a518-AILYAH C

2020年5月13日

Ilkay is the best teacher