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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,631개의 평가
1,345개의 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 251~275

교육 기관: An D

Feb 13, 2017

Excellent! Thank you!

교육 기관: Arindam S

Feb 23, 2017

Right kind of introduction for any beginner of Big Data ! The pace of the course is also very good.

교육 기관: Oleg S

Jun 19, 2018

It was interesting and structured course, for start that course is good

교육 기관: Prospero-Martin R

Jan 31, 2018

I really liked this course! It take you from the ground up and smoothly ramps up little bit into more detail. Big Data is a vast area and I am aware that there's lots to learn, but now I have a better understanding of what Big Data is. Definitely I am taking the other 5 courses in the "Big Data Specialization".

교육 기관: Vikas G

Mar 28, 2017

Nice course to get a fair idea for beginners

교육 기관: neg0diay

Jun 26, 2017

it's very interesting and useful course. thank you.

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: Abdulaleem M

Mar 23, 2017

excellent

교육 기관: Tranncl

Jan 01, 2017

Very good introduction to Big Data.

교육 기관: Amith S M

Feb 09, 2017

Amazing

교육 기관: chaitanya

Jul 03, 2017

Keeping things in general perspective before getting technical has helped me a lot to understand.

교육 기관: Nguyen N T A

Jul 03, 2017

Good!

교육 기관: Md. A S S

Jun 03, 2017

it was really fantastic

교육 기관: Guillermo A A

Apr 16, 2017

completo, concreto y práctico.

교육 기관: Varun V

Mar 22, 2018

Awesome instructors! They provide the in depth knowledge. I am happy that i took this course.

교육 기관: manisha

Mar 07, 2018

Flow of material is good .Along with the assesment at end of each chapter . It help to re visit the point we missed during class

교육 기관: Ravi R

Mar 27, 2017

good one

교육 기관: Rajib K

Apr 17, 2017

Excellent course..I had no idea about Big Data earlier and this course so far has helped me understand the fundamentals of big data really well. The exams, peer grading etc are amazing.

교육 기관: RaviChandraReddy C

Jul 01, 2017

Awesome course, enjoyed the fun in doing Hadoop.

교육 기관: Suyog P

Mar 14, 2017

Very Good

교육 기관: Manvik S

Nov 21, 2017

excellent course for beginners

교육 기관: Sabawoon S

Jan 08, 2018

Excellent information.

교육 기관: Johannes V

Apr 02, 2017

Great introductory course teaching the basics of Big Data and having some hands-on applications to work with.

교육 기관: Rahul T

Oct 28, 2017

Thank you so much for your sharing your great experience with us. This really helped me to learn a lot about Big Data. Real life examples and experiences are are just awesome. :)

교육 기관: Subir K G

Feb 28, 2018

The teacher is awesome and teaches in a very