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返回到 大数据导论

學生對 加州大学圣地亚哥分校 提供的 大数据导论 的評價和反饋

4.6
5,549 個評分
1,332 個審閱

課程概述

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+....

熱門審閱

HM

Sep 09, 2019

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.

PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

篩選依據:

51 - 大数据导论 的 75 個評論(共 1,272 個)

創建者 Seshu

Jan 31, 2019

Good basics about Big Data and Hadoop

創建者 Simon L

Jan 19, 2019

A great introduction to Big Data with a funny MapReduce exercise (for beginners).

創建者 poojitha

Jan 19, 2019

The introduction to basic concepts was really helpful for a begginer.

創建者 Anuj P S

Feb 03, 2019

Great information covered all the topics from basics to advanced

創建者 Mohamed S

Apr 04, 2019

I have benefited greatly from this course, which is a powerful start to the big data field

創建者 Pedgilba

Apr 05, 2019

Simplemente muy bueno

創建者 AMEEN H A B

Apr 04, 2019

Great

創建者 ashishverma

Apr 07, 2019

nice course

創建者 marella s r

Apr 08, 2019

nice

創建者 Vivek T

Apr 08, 2019

this is really a fantastic course in Big data and data science. the instructor is so nice and the content is quite good.

創建者 Nandita G

Mar 04, 2019

Excellent course on Big Data. I now have a hold on various Big Data terms and basic understanding of Big Data Hadoop map reduce programming.

創建者 Ranjeet K

Mar 05, 2019

The course was in depth about Big Data Introduction and its related technologies. Thanks to Coursera for the wonderful content.

創建者 Chukwudi F A

Mar 13, 2019

Very rich and practical

創建者 Sanket S

Mar 06, 2019

I found it quite interesting. The speakers make it very easy to understand as well as learning materials is also upto the mark and sufficient. Quizzes are of mixed type and are very appropriate to test the knowledge.

創建者 Liliana d C C M

Mar 16, 2019

Un curso excelente

創建者 Mohamed S K B

Mar 07, 2019

Slowly paced and clear explanation by the professors.

創建者 Juan A

Mar 09, 2019

Perfect as a first step in this amazing world of Data Science&Big Data!

創建者 Guillermina S

Mar 16, 2019

Good introduction (not very technical), takes a day to complete with velocity 1.75x

創建者 Nishit P

Dec 06, 2018

This is a great introduction to Big data as well as introduction to tools related to big data.

創建者 Claire_zyy

Nov 23, 2018

Help me have a better understanding of big data indeed.Thank you so much

創建者 Kosala W

Dec 09, 2018

Superb introduction to the concepts of Big data for total newcomers with a simple hands on exercise at the end. Well done team!

創建者 Monzer N

Jan 07, 2019

Useful introduction thank you

創建者 Fernando M

Jan 07, 2019

Great to understand and practice basic concepts

創建者 Siddhant Y

Dec 25, 2018

Great course! Detailed explanations in the basics of Big Data! Keep it up!!!

創建者 Estefania L

Jan 07, 2019

A very good introduction to fundamentals concepts of Big Data