Chevron Left
Big Data Integration and Processing に戻る

カリフォルニア大学サンディエゴ校 による Big Data Integration and Processing の受講者のレビューおよびフィードバック

4.4
2,320件の評価
502件のレビュー

コースについて

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+....

人気のレビュー

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.

フィルター:

Big Data Integration and Processing: 151 - 175 / 491 レビュー

by Amarendranadh C P

2022年1月23日

The course is well explained and designed

by AISHWARYA V

2020年5月26日

Very interesting and informative course.

by Jose L R

2018年10月13日

Great course! Please update the HandsOn.

by Rajesh P

2017年11月10日

Very good course for understanding spark

by Ian M

2017年2月2日

Lots of good hands-on and explanation...

by Suhail M

2020年7月17日

Need More Hands on except that all good

by YEVHEN K

2018年1月23日

Very good basic for further learning!!!

by Swapnil D

2019年5月12日

Things are materialized in well manner

by Juan J R M

2017年5月9日

Get a better description in the week 6

by Luis A R

2019年6月14日

Excellent course, very good material.

by Manish T

2020年7月26日

excellent course with good hands on

by Fernando A S G

2017年6月14日

Great hands on activities! Thanks!

by Aarush N

2021年9月28日

Excellent Course must try for all

by Amit K M

2020年10月8日

EXCELLENT VIDEOS AND CONTENTS...

by Nawaf S B H

2020年7月25日

very well done and simple course

by vasudha k

2019年1月16日

amazing course great assignments

by Sarah K

2020年7月25日

Awesome lecturers and contents!

by Bhrigu C

2018年6月16日

Great Teachers and great course

by William S A

2017年8月21日

Excellent content and teachers.

by leena

2020年2月28日

This is well organised course.

by Lorie S

2018年5月25日

Great Course and interesting..

by Ramachandran K

2017年6月21日

Excellent course and exercises

by BOUZ A

2020年7月6日

GOOD ONE !

I LOVE THE TEACHERS

by Suryateja S S

2020年6月11日

Nice course for data analysis

by Yuncheng L

2021年5月25日

hard as fk but so nutritious