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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,838개의 평가
1,392개의 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.

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 1,333개 리뷰 중 326~350

교육 기관: Carlos E M S

Dec 22, 2016

Great starting point if you want to understand Big Data ecosystem and basic concepts

교육 기관: RAJESH K M

Nov 22, 2016

This course is very informative to enhance my carrier in right way of my own choice.

교육 기관: Guillermina S

Mar 16, 2019

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

교육 기관: Gustavo I M

Aug 28, 2018

an Introduction for big Data. Opened my mind for future uses in my life and my work

교육 기관: Mohammed A S

Dec 13, 2017

Excellent course, very easy to follow and with rich content and hands-on experience

교육 기관: Rahul P

Oct 12, 2017

Great course for beginners. Please add optional assignment on Map Reduce functions.

교육 기관: Saad R

Sep 25, 2019

It is a really good introductory course for people who are interested in the field

교육 기관: Varun K

Sep 24, 2018

Excellent course material. Quiz were also good. Overall great learning experience.

교육 기관: Muhammad B

Apr 21, 2018

Very informative and easy to understand course. Would recommend to all my friends.

교육 기관: Maria J M

Aug 07, 2017

This course is really intended for beginners like me. It was very easy to follow.

교육 기관: WILLIAM A

Jul 27, 2017

This was a good introduction to Big Data concepts and tools. I enjoyed the course.

교육 기관: Rohit G

Jul 17, 2017

The course content was great and the instructors made this even easier and simpler

교육 기관: Amish

Mar 27, 2017

Excellent. Would probably go for the next course as well, if time permits. Thanks!

교육 기관: Prateek S

Nov 28, 2016

It's amazing , gained knowledge about What is Big Data, its sources and much more.

교육 기관: Swathi G K

Aug 15, 2019

The way they have explained is very understandable, good course for new learners.

교육 기관: Simon L

Jan 19, 2019

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

교육 기관: Hasitha K

Nov 06, 2018

Excellent teaching, each and every topic is very clear and easily understandable.

교육 기관: Chenyang A

Feb 10, 2018

Very, Very informative, high-speed teaching. Requires full attention at all time.

교육 기관: Markus S

Jan 22, 2018

Very Good introduction to Big Data Concepts using real life examples and problems

교육 기관: Linh N B

Sep 13, 2017

This course is really great for all student to begin learning about data science.

교육 기관: Mohammad B S

Nov 17, 2016

"Dhaado sutho mukhe dhaado wanton" ( Sindhi)

Very nice indeed i liked it very much

교육 기관: Tariq A

Jan 03, 2020

“A great course – I received lots of information and lots of useful Information.

교육 기관: Eric E V S

Feb 20, 2019

It was a nice introduction to the subject. The last quiz was pretty lame though.

교육 기관: Izabela R

Aug 27, 2018

Provides a very good understanding of the topic if you have no background on it.

교육 기관: Devon E

Jul 13, 2018

Brilliant overview of the data landscape - The instructors are clear and concise