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
10,245 ratings
2,394 reviews

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

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.

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.

Filter by:

626 - 650 of 2,340 Reviews for Introduction to Big Data

By KAVIPRIYA.M

May 14, 2020

It is very helpful to learn.It gives step by step learning way for bigineers.

By Srinivasa R V

Feb 3, 2020

The entire course was nicely planned and looking forward for the next modules

By montaser A S

Jan 16, 2019

It is a very good course as a fundamental we must know , thank you very much

By Muhammad A k

Jul 19, 2020

excellent instructors, good way of teaching, everything explained thoroughly

By Chiranjib G

Jul 6, 2020

Brilliantly instructed by the instructors. Really loved watching the videos.

By Mithun B N

May 17, 2020

The concepts are neatly explained. it is very good course for the beginners.

By Vaidhyanathan C

May 14, 2020

Fantastic Beginner's level course taught by passionate teachers! Full marks!

By Jubaer A

May 11, 2020

basic concepts are wonderfully explained. Quizzes are relevant and helpful.

By Siddhant Y

Dec 24, 2018

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

By Rozina S

Mar 25, 2018

Very Nice and Useful course. It's from very basic and easy to be understood.

By Sivakumar A

Oct 15, 2017

Short, but structured and simple way to introduce newbies to Big Data world.

By PRASAD D

Sep 9, 2017

very good introduction, MapReduce with good example and all about Eco-system

By Luigi B

Dec 20, 2016

Nice and pleasant course, gives the basics and it is accessible to everyone.

By Everton R

Nov 5, 2016

An introductory course with lots of usufel information. It is a great start!

By Dhrumil P

Sep 11, 2016

If you're new and an aspirant to the Big Data field, This Course is for you!

By C D R

Jun 26, 2020

feeling happy to learn new concepts which is very use full to an programmer

By Chika E

Jun 24, 2020

This is a awesome course. Really enjoyed it and learned a lot of new skills

By Kumar A

Apr 19, 2020

Very good foundational course with simple and easy explanation of concepts.

By Srinath M

Sep 9, 2019

Concepts were well explained with relevant examples, and practice sessions.

By Saravana B

Oct 7, 2018

Really good for beginners. Covers very important topics and well explained.

By pedro

Sep 1, 2018

Absolutely great! Much appreciated lessons and hands-on! Truly recommended!

By Akshay P

May 8, 2017

A good overview of data science. I especially liked the hands on exercises.

By Shirish P

Feb 27, 2017

Great intro for beginners to Big Data world. the pace of course is perfect.

By Bhaskar P

Jul 9, 2021

Good course for introduction to Big Data. Easy to understand the concepts.

By HONG L G

May 24, 2021

Very comprehensive training, i love the step-by-step approach, no rush. :)