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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,549개의 평가
1,332개의 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 1,272개 리뷰 중 151~175

교육 기관: Bob J S

Nov 17, 2018

I like to course work with interactive questions and guidelines.

교육 기관: pooja g

Nov 16, 2018

Very well explained, the hands-on is very useful. Highly recommended!

교육 기관: Irma A H A

Nov 17, 2018

Great way to learn, love it!

교육 기관: karra k k

Nov 17, 2018

It is a fantastic platform to upgrade our skills and the way of teaching is every nice to hear and understandable really impressive.Thanks for this beautiful course

교육 기관: DHANRAJ N

Nov 19, 2018

Very information and knowledgeable

교육 기관: Ranju M

Nov 20, 2018

This is really an awesome course. I thoroughly enjoyed.

교육 기관: Daniel P

Jul 17, 2018

Great introduction to Big Data. I went from knowing nothing about the subject to feeling mildly confindent about talking about the subject with industry professionals.

교육 기관: martin k

Aug 03, 2018

Very good course, very good topics, got a very good overview about how to use big data

교육 기관: Rohit S

Aug 04, 2018

GREAT COURSE!

교육 기관: Samuel B F

Aug 05, 2018

Very interesting enlightment of Big Data. I really learned a different perception towards Big Data. Can't wait for the next clases.

교육 기관: Juan C M L

Aug 21, 2018

Great introduction to the subject. Solid Theory and Practical at the same time

교육 기관: Наталья Д

Aug 22, 2018

I really liked the course. For me, this is a completely new and unknown facet. Practical tasks-it's super! Make with interest to achieve results. Wow! Thank you very much!

교육 기관: Mody M

Jul 19, 2018

As start in Big Data field, this course is a pretty good

교육 기관: Vrnda V

Jul 18, 2018

Really good explanation by the professors!

교육 기관: Rajeev D

Aug 23, 2018

T

교육 기관: Alexandre O d M B

Sep 30, 2018

The course is amazing.

교육 기관: Luis A R

Oct 13, 2018

Excelente curso, muy explicativo los vídeos y de gran utilidad el material suministrado. Este curso me ha permitido comenzar mis conocimientos en big data, comprender el gran potencial de manejar la data que se genera en mi trabajo, en la sociedad y personalmente, lo cual permitirá contribuir a la toma de decisiones que permitan incrementar el valor de la data.

교육 기관: Jamshaid Y

Oct 14, 2018

Excellent learning, Keep it up please

교육 기관: Nagarjuna

Oct 01, 2018

wonderfully scripted for beginners to understand and learn the basics of the big data.

교육 기관: B A K R

Oct 01, 2018

my basics are clear with this course

교육 기관: Ivan S

Oct 14, 2018

Excelent course to start.

교육 기관: Quentin B

Oct 15, 2018

This course was a great opportunity to have an overview of what is the BigData and what does it use influence the businesses and our daily lives. Good job from the professors!

교육 기관: Arun G

Aug 24, 2018

Well articulated. Gives the good amount of information at "Introduction" level.

교육 기관: Basawaraj P

Sep 20, 2018

G

교육 기관: Vaibhav S

Aug 24, 2018

excellent, finally learned MapReduce basic and big data