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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,298개의 평가
1,292개의 리뷰

강좌 소개

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+....

최상위 리뷰

RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

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.

필터링 기준:

Introduction to Big Data의 1,233개 리뷰 중 51~75

교육 기관: Seshu

Jan 31, 2019

Good basics about Big Data and Hadoop

교육 기관: Simon L

Jan 19, 2019

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

교육 기관: poojitha

Jan 19, 2019

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

교육 기관: Anuj P S

Feb 03, 2019

Great information covered all the topics from basics to advanced

교육 기관: Mohamed S

Apr 04, 2019

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

교육 기관: Pedgilba

Apr 05, 2019

Simplemente muy bueno

교육 기관: AMEEN H A B

Apr 04, 2019

Great

교육 기관: ashishverma

Apr 07, 2019

nice course

교육 기관: marella s r

Apr 08, 2019

nice

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: Chukwudi F A

Mar 13, 2019

Very rich and practical

교육 기관: 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.

교육 기관: Liliana d C C M

Mar 16, 2019

Un curso excelente

교육 기관: Mohamed S K B

Mar 07, 2019

Slowly paced and clear explanation by the professors.

교육 기관: Juan A

Mar 09, 2019

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

교육 기관: Guillermina S

Mar 16, 2019

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

교육 기관: Nishit P

Dec 06, 2018

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

교육 기관: Claire_zyy

Nov 23, 2018

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

교육 기관: 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!

교육 기관: Monzer N

Jan 07, 2019

Useful introduction thank you

교육 기관: Fernando M

Jan 07, 2019

Great to understand and practice basic concepts

교육 기관: Siddhant Y

Dec 25, 2018

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

교육 기관: Estefania L

Jan 07, 2019

A very good introduction to fundamentals concepts of Big Data