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
10,918 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’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+....

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.

RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

Filter by:

1651 - 1675 of 2,488 Reviews for Introduction to Big Data

By Jhonatan D S

•

Jul 31, 2023

Excelent

By Paula X S L

•

May 11, 2022

ok super

By Manjushree r k

•

Nov 22, 2021

its good

By Yassine A R

•

Jun 9, 2020

helpfull

By Desu G S S

•

Jun 7, 2020

Too good

By SHAKTHI S

•

May 30, 2020

Well gud

By novan z

•

Aug 23, 2019

The Best

By subash k p

•

Jun 6, 2017

Xcellent

By Ravi R

•

Mar 27, 2017

good one

By Frank C

•

Dec 21, 2016

Perfect!

By Getalew A C

•

Jan 27, 2022

perfect

By Mulilkin D

•

Jan 27, 2021

Userful

By ADALBER C L

•

Sep 26, 2020

Gracias

By Flt L G R

•

Jun 11, 2020

THANKS.

By Shubhayu C

•

Jun 4, 2020

amazing

By Zakaria E

•

May 21, 2020

awesome

By Arash R

•

Feb 28, 2020

Awesome

By Chetan N

•

May 26, 2019

AMAZING

By Sakshi S

•

Jan 19, 2018

awesome

By Amith S M

•

Feb 9, 2017

Amazing

By seelammal

•

Jan 7, 2022

useful

By Нуржан О

•

Oct 10, 2021

лучший

By JUAN D B C

•

Mar 21, 2021

THANKS

By ye w

•

Mar 5, 2020

讲的非常细致

By Luis F S A

•

Apr 22, 2017

Great!