Chevron Left
Introduction to Big Data(으)로 돌아가기

캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,843개의 평가
1,393개의 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 1,335개 리뷰 중 351~375

교육 기관: Sayed T S

Mar 02, 2017

It was a good course ,That's amazing.Every time increase my passion for learning

교육 기관: Olga S

Aug 12, 2016

I enjoyed this course and happily displayed the Certificate on my LinkedIn page!

교육 기관: Arun G

Aug 24, 2018

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

교육 기관: Mike O

Apr 22, 2018

Excellant stuff - crunching all of Shakespeare in one hit in less than a minute

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: Chandrakanth B

Dec 04, 2019

It was awesome, the basics of Big Data was explained in this course is supper!

교육 기관: Ilya P

Jan 24, 2019

Great course for those who just start understanding Big Data and Data Science.

교육 기관: Juan C M L

Aug 21, 2018

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

교육 기관: Ramesh K

Apr 16, 2018

It was really helpful for me to understand What big data is? from this course.

교육 기관: Daniel C

Dec 11, 2017

I would like to recommend to each people who dont know anything about big data

교육 기관: Silvia C R S

Aug 26, 2017

Really well-organized and a good start for people with no previous experience.

교육 기관: Olivier S

Jul 04, 2017

Great training. It gives more than an introduction. Let's go for the next one!

교육 기관: Srinivasa R V

Feb 03, 2020

The entire course was nicely planned and looking forward for the next modules

교육 기관: Montaser A S

Jan 16, 2019

It is a very good course as a fundamental we must know , thank you very much

교육 기관: Siddhant Y

Dec 25, 2018

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

교육 기관: Rozina S

Mar 25, 2018

Very Nice and Useful course. It's from very basic and easy to be understood.

교육 기관: Sivakumar A

Oct 16, 2017

Short, but structured and simple way to introduce newbies to Big Data world.

교육 기관: PRASAD D

Sep 10, 2017

very good introduction, MapReduce with good example and all about Eco-system

교육 기관: Luigi B

Dec 20, 2016

Nice and pleasant course, gives the basics and it is accessible to everyone.

교육 기관: Everton R

Nov 05, 2016

An introductory course with lots of usufel information. It is a great start!

교육 기관: Dhrumil P

Sep 11, 2016

If you're new and an aspirant to the Big Data field, This Course is for you!

교육 기관: Srinath M

Sep 09, 2019

Concepts were well explained with relevant examples, and practice sessions.

교육 기관: Saravana B

Oct 07, 2018

Really good for beginners. Covers very important topics and well explained.

교육 기관: pedro

Sep 01, 2018

Absolutely great! Much appreciated lessons and hands-on! Truly recommended!

교육 기관: Akshay P

May 08, 2017

A good overview of data science. I especially liked the hands on exercises.