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
10,532 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:

1926 - 1950 of 2,417 Reviews for Introduction to Big Data

By Talha T

Jun 7, 2020

By Gabriel T

Jan 3, 2018

By Jason M

May 23, 2017

By Ripunjay K

Nov 27, 2019

By PLN R

Feb 9, 2018

By RODRIGO B E

May 30, 2020

By Tonmoy B

May 29, 2020

By Uday S

Oct 15, 2016

By Michael J

Nov 27, 2020

By DIWAAN C C S

Jul 6, 2020

By Aravind M

Aug 3, 2018

By Daniel A M

Sep 5, 2021

By ashutosh k

Dec 16, 2017

By Mohamed E T

Jun 7, 2017

By Visas V T

Feb 24, 2018

By Adnan B

Jan 27, 2017

By Kaddoum R

Sep 24, 2016

By Robert C

Jul 24, 2017

By Ian M

Dec 28, 2016

By Javier E

May 8, 2021

By Jorge d l V G

Aug 28, 2016

By Prashanth K

Oct 26, 2018

By David L M

Jun 12, 2020

By Cristhian M P V

Jun 7, 2020

By Cristian A

May 10, 2020