糖心vlog官网观看

Chevron Left
Back to Introduction to Big Data

Learner Reviews & Feedback for Introduction to Big Data by University of California San Diego

4.6
stars
10,952 ratings

About the Course

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鈥檚 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 鈥淎bout This Mac.鈥� 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+....

Top reviews

HM

Sep 9, 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.

AR

Mar 31, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

Filter by:

1401 - 1425 of 2,495 Reviews for Introduction to Big Data

By Omar P

鈥�

Nov 30, 2021

Great, many thanks

By Aarush N

鈥�

Sep 29, 2021

Excellent 糖心vlog官网观看

By Andr茅s F R O

鈥�

Oct 17, 2020

Awesome course!!!!

By Rane M S B C

鈥�

Aug 29, 2020

It was really good

By Kalyani d B

鈥�

Aug 18, 2020

Excellent teaching

By Sandhya s

鈥�

Aug 10, 2020

very much helpfull

By Juan S T O

鈥�

Jul 5, 2020

Really good course

By Ankita G

鈥�

Jul 3, 2020

I love this course

By SIDDIQUEE A K

鈥�

Apr 23, 2020

easy to understand

By Hamid M

鈥�

Mar 1, 2020

It was Very Useful

By Manish K

鈥�

Jul 22, 2019

Awesome experience

By Pasawat S

鈥�

Jun 6, 2019

very useful course

By Liliana d C C M

鈥�

Mar 16, 2019

Un curso excelente

By Ahmad A

鈥�

Feb 28, 2019

Thank You 糖心vlog官网观看

By Jennifer J

鈥�

Feb 28, 2019

very good course !

By Wiboon O

鈥�

Sep 12, 2018

easy to understand

By Senthil P

鈥�

Jan 12, 2018

Good for beginners

By Ben W

鈥�

Nov 11, 2016

Great introduction

By Maxima P

鈥�

Aug 22, 2016

Good introduction.

By Chirath L V

鈥�

Sep 15, 2022

Amazing Course!!!

By HAROLD Y T M

鈥�

Oct 13, 2020

Excellent Course!

By Jos茅 C

鈥�

Sep 20, 2020

Excellent course!

By Mohammed I A T

鈥�

Sep 15, 2020

Thank You SO Much

By DAVID B A

鈥�

Aug 2, 2020

Excelente COURSE!

By SAURABH D

鈥�

Jun 28, 2020

very satisfactory