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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

8,144개의 평가
1,936개의 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


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.


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.

필터링 기준:

Introduction to Big Data의 1,873개 리뷰 중 1251~1275

교육 기관: Sakshi S

Jan 19, 2018


교육 기관: Amith S M

Feb 09, 2017


교육 기관: ye w

Mar 05, 2020


교육 기관: Luis F S A

Apr 22, 2017


교육 기관: Márcio R

Feb 15, 2017


교육 기관: gaurav k

Jul 08, 2020


교육 기관: Tan L Y C

Jul 08, 2020


교육 기관: Krishnapriya

Jun 15, 2020


교육 기관: DAVID X S C

May 13, 2020


교육 기관: Mohammad S k

May 07, 2020


교육 기관: Mohan r d

May 05, 2020


교육 기관: MD S H

May 02, 2020


교육 기관: AMEEN H A B

Apr 04, 2019


교육 기관: Aaron M

Nov 01, 2017


교육 기관: shimaa a a

Oct 22, 2017


교육 기관: Faraz

Sep 15, 2017


교육 기관: Nguyen N T A

Jul 03, 2017


교육 기관: Hamada I M

Mar 19, 2017


교육 기관: Eunsuk K

Feb 02, 2017


교육 기관: Aryan S

Nov 04, 2016


교육 기관: Madhuri S

Aug 01, 2020


교육 기관: Safia B

Jul 28, 2020


교육 기관: Sutanu S

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Jul 25, 2020


교육 기관: Rajesh R

Jul 17, 2020