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
10,878 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 8, 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.

DK

Aug 11, 2021

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.

Filter by:

601 - 625 of 2,480 Reviews for Introduction to Big Data

By luan N

•

Aug 25, 2018

It is a great course for beginner to understand about Big Data and Hadoop ecosystem.

By Stefan M

•

Mar 21, 2018

very clear and precise instructions and no hassles with the grading of the assigment

By Merouane B

•

Oct 17, 2017

Awesome course, the content is well organized and it gives you all you need to know.

By Carlos E M S

•

Dec 22, 2016

Great starting point if you want to understand Big Data ecosystem and basic concepts

By RAJESH K M

•

Nov 22, 2016

This course is very informative to enhance my carrier in right way of my own choice.

By Manish M

•

Sep 30, 2020

I will definitely recommend this course if you really want to learn about big data.

By Guillermina S

•

Mar 16, 2019

Good introduction (not very technical), takes a day to complete with velocity 1.75x

By Gustavo I M

•

Aug 28, 2018

an Introduction for big Data. Opened my mind for future uses in my life and my work

By Mohammed A S

•

Dec 13, 2017

Excellent course, very easy to follow and with rich content and hands-on experience

By Rahul P

•

Oct 11, 2017

Great course for beginners. Please add optional assignment on Map Reduce functions.

By Gonzalo S G

•

May 21, 2020

Very useful, I hope I'll keep improving about Big Data quotes, thank you very much

By Saad R

•

Sep 25, 2019

It is a really good introductory course for people who are interested in the field

By Varun S

•

Sep 24, 2018

Excellent course material. Quiz were also good. Overall great learning experience.

By bazil q

•

Apr 21, 2018

Very informative and easy to understand course. Would recommend to all my friends.

By MJ M

•

Aug 7, 2017

This course is really intended for beginners like me. It was very easy to follow.

By WILLIAM A

•

Jul 27, 2017

This was a good introduction to Big Data concepts and tools. I enjoyed the course.

By ROHIT G

•

Jul 17, 2017

The course content was great and the instructors made this even easier and simpler

By Amish

•

Mar 27, 2017

Excellent. Would probably go for the next course as well, if time permits. Thanks!

By Prateek S

•

Nov 28, 2016

It's amazing , gained knowledge about What is Big Data, its sources and much more.

By eric

•

Mar 12, 2024

Course was very well paced and it was great to have a thorough example of Hadoop.

By Enrique J P

•

Mar 30, 2022

Muy claro. Te llevan paso a paso y lo explican con ejemplos fáciles de entender.

By NITHYA S

•

Sep 22, 2020

It's easy to understand at the same time did some hands-on are also useful to it.

By SATRIO N

•

Aug 20, 2020

Good course, which really gives an overview of big data and is easy to understand

By KAMASANI V R

•

Jun 16, 2020

This course gave me a deeper idea of Big Data and helped me in gaining knowledge.

By Leonard K

•

Jun 16, 2020

Excellent course with practical examples of the theory exposed. Enjoyed very much