Chevron Left
Introduction to Big Data に戻る

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

4.6
10,509件の評価

コースについて

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. 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. 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. 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

HM

2019年9月8日

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

DK

2021年8月11日

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

フィルター:

Introduction to Big Data: 2301 - 2325 / 2,406 レビュー

by WEIXUAN H

2018年11月28日

to many high level concepts but lack of real examples

by Manuel

2017年12月17日

Too generic and high-level, not a lot of learning

by Yajuvendra P

2017年3月9日

No technical support is provided for VM issues.

by Karen H

2021年5月28日

I spent tons of time to solve centos issues

by Congcong Z

2017年10月26日

well explained landscape of data science

by Maria G

2017年2月16日

Solo videos con conceptos. Poco Hands-on

by Daniel A D

2018年4月8日

Good information but not very hands-on.

by Camilo P T

2018年11月28日

basico y sencillo. Ideal para iniciar

by Gagan D S

2020年4月8日

Good to start from Basic. Love it

by SERGEI S

2017年7月12日

it is so simple, but informative

by YUVARANI P 2 C A

2020年8月4日

It is very easy to understand

by Franciszek G

2018年10月22日

Too little technical aspects.

by Bhawna B

2017年8月23日

need to give more assignments

by Alexander H

2018年11月10日

More hands on would be good

by YongDeuk C

2016年11月20日

it's too much basic stuffs.

by Aditya A

2021年2月26日

Add more hands on sessions

by Alvaro M

2017年9月18日

Booooooooorinnnnggggg

by Irfan S

2017年9月11日

Its very basic course

by Shivraj J

2016年12月19日

Basic info covered.

by Roman N

2016年11月4日

too philosophical

by Toti S

2019年1月8日

Very theoretical

by Alex B

2017年2月18日

Quite shallow...

by Ravi

2017年11月14日

Lot of talking.

by Deleted A

2017年3月17日

Not good enough

by Marcelo G D L

2020年5月12日

A bit outdated