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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,625개의 평가
1,344개의 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 1,285개 리뷰 중 51~75

교육 기관: CHANDAN K

Mar 01, 2019

Nicey introduced to

교육 기관: Ahmed R

Mar 21, 2019

Recommended to my colleagues in my department.

교육 기관: Eder M A R

Mar 25, 2019

Good course to learn introduction terms.

교육 기관: Satwinder S

Mar 28, 2019

A very good informative course.

All the Basics concepts are represented very well. Like this course too much.

교육 기관: Ali S

Dec 20, 2018

this was a great short course for starters in big data analytics and hadoop. the teachers had an excellent in depth knowledge of their field and they communicated it a very learner and professional manner.

교육 기관: MATHUMITHA .

Dec 04, 2018

Everything was explained in brief manner with day to day examples . Thanks to Ilkay Altintas and Amarnath Gupta for their clear cut explanations and also my reviewers for my assignments . Such an awesome course for beginners. Ample amount of time was given to finish this course successfully

교육 기관: Nishit P

Dec 06, 2018

This is a great introduction to Big data as well as introduction to tools related to big data.

교육 기관: Siddhant Y

Dec 25, 2018

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

교육 기관: Kosala W

Dec 09, 2018

Superb introduction to the concepts of Big data for total newcomers with a simple hands on exercise at the end. Well done team!

교육 기관: Shesh S

Dec 09, 2018

Excellent introduction to the world of Big Data

교육 기관: Mic T

Dec 11, 2018

This is an excellent course! The teachers are wonderful and the course design is very good! Highly recommended if you are new to Big Data!

교육 기관: Tejprakash U

Dec 10, 2018

course is well designed and structured.

교육 기관: Lucas R P

Nov 28, 2018

Very good course!

교육 기관: Mohamed S

Apr 04, 2019

I have benefited greatly from this course, which is a powerful start to the big data field

교육 기관: Pedgilba

Apr 05, 2019

Simplemente muy bueno

교육 기관: AMEEN H A B

Apr 04, 2019

Great

교육 기관: ashishverma

Apr 07, 2019

nice course

교육 기관: marella s r

Apr 08, 2019

nice

교육 기관: Vivek T

Apr 08, 2019

this is really a fantastic course in Big data and data science. the instructor is so nice and the content is quite good.

교육 기관: Ilya P

Jan 24, 2019

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

교육 기관: Vidula A

Feb 20, 2019

Excellent Course

교육 기관: Km S S

Jan 13, 2019

It was awsome.

교육 기관: Paramasivan D

Jan 13, 2019

This is a great course. The best part I liked about this course is connection to the real world scenarios. This helped in identifying the idea of big data. Thanks to the course organizers

교육 기관: Mhd K D

Jul 14, 2018

All the contents were explained in a great way, also each assignment was related to the topicamazing explanation, keep it up .

교육 기관: Juan P G M

Jul 17, 2018

Excelente para iniciar en el mundo del Big Data