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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,469개의 평가
1,325개의 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

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.

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.

필터링 기준:

Introduction to Big Data의 1,265개 리뷰 중 251~275

교육 기관: Mahantha S M V

May 06, 2018

This is very good basic course

교육 기관: Anne T

Jun 21, 2017

Awesome great introduction

교육 기관: saumya c

Jun 05, 2017

very good and informative. course will let you open up your arms in the area of data science

교육 기관: Diego S

Oct 16, 2016

This course is perfect for Big Data beginers. I loved how they explained haoop's architecture and big data principles in a simple way.

교육 기관: 蔡文震

Oct 08, 2016

nice class

교육 기관: Fanny S

Aug 08, 2016

This course is a good way to begin by the Data science world. I like so much the excercises with Hadoop.

교육 기관: Shirish P

Feb 28, 2017

Great intro for beginners to Big Data world. the pace of course is perfect.

교육 기관: Eitan A

Jul 25, 2017

Great Class, perfect for a novice such as myself. In fact, I was surprised how much I learned on the basics of big data and the Hadoop environment in such as short time.

교육 기관: Ramit K

May 01, 2017

Excellent

교육 기관: Rajshree

Jun 24, 2017

This is a great course material for start to learning Big Data . There is good description with example for every topic.

교육 기관: Juan C G

Mar 04, 2018

Updated content, good explanations. Great Job

교육 기관: Jose F V G

Oct 05, 2017

Niceeee, very theoretical at the beginning, a lot of hands on stuff at the end.

교육 기관: Tarun K

Feb 10, 2018

Its a new technology for me to learn. Try my best to pursue my career in this field. Course Contents are good, Instructors explain the contents very well.

교육 기관: Ranga D

Sep 08, 2016

Thanks to this course I learned the basics of Big Data and looking forward to take the other courses.

교육 기관: Vidal A C L

Sep 01, 2017

This gave me a thorough high level understanding of BigData, and reminded me how ubiquitous it is around it. I strongly recommend this course to my fellow Project Managers looking to discover more about BigData.

Vidal.

교육 기관: V. D

Jan 25, 2017

The Big Data Analysis is one of the emerging topic. The course provides the detailed information about various concepts that can be easily understood by learners. Thanks to the faculty members who are handling the course.

교육 기관: Tianyu X (

Oct 29, 2016

Easy to understand and get hand-on exercise, and joyful

교육 기관: xavier s

Aug 21, 2017

a good introduction, very clear about this interesting subject!

교육 기관: Andrii K

Sep 28, 2016

Perfect course. Great material and teachers.

교육 기관: Yeshar H

Sep 29, 2016

Great, very simple intro!

교육 기관: Shawn J

Jul 09, 2018

I really enjoyed the course. It was thought-provoking and practical enough to run 'Map Reduce' samples on VM!

교육 기관: sirosh

Jul 21, 2016

the best lectures

교육 기관: Konstantia Z

Feb 25, 2018

ExceptionalCourse!!!!

교육 기관: Raghvendra M T

Oct 15, 2017

Excellent introductory course

교육 기관: Saeid r T k

Nov 22, 2016

Excellent teaching method of teaching with short informative videos :)