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
10,792 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

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:

1551 - 1575 of 2,460 Reviews for Introduction to Big Data

By Carlos E d S

Jul 28, 2017

Great intro!

By YashVardhan S

Jul 17, 2017

good for all

By Matthew S

Mar 5, 2017

Great stuff!

By Kelvin P

Aug 10, 2016

Very good :)

By Henri D P D

Aug 4, 2022

nice course

By Joan J

Dec 7, 2021

Good course

By sandeep k

Sep 16, 2020

good course

By Ankur m

Aug 13, 2020

awsm course

By Tushar R

Jul 20, 2020

BEST COURSE

By Mauricio A S A

Jul 14, 2020

excellent!!

By Yahia W

Jul 14, 2020

Nice Course

By Dhirajsing R

Jul 8, 2020

BEST COURSE

By Anitha T

Jun 17, 2020

Very useful

By Vikas K P

Jun 14, 2020

good course

By KARTHICK L S

Jun 12, 2020

Nice course

By Suneel S B

May 22, 2020

Good course

By Akshat J

May 17, 2020

good course

By Brian K

Apr 28, 2020

Good course

By Ajay S R

Jul 9, 2019

good course

By ashishverma

Apr 7, 2019

nice course

By nitin m

Jul 3, 2017

good course

By Luiz F

Jun 18, 2017

Excellente.

By Uday K

Mar 4, 2017

Good One!!!

By Thuong D H

Sep 22, 2016

Good course

By Akaash H

Aug 23, 2016

Nice course