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:

251 - 275 of 2,417 Reviews for Introduction to Big Data

By Álvaro D

Jul 6, 2020

By Sebastian W

Aug 15, 2016

By Rashad H N

Dec 20, 2020

By Rahul G

Jul 14, 2017

By KIVANÇ Ö

Sep 22, 2020

By Sarah A

Aug 22, 2020

By Alan P T

Jul 15, 2020

By HARMANDEEP S H S

Jun 19, 2020

By Deepak G

Aug 18, 2016

By Solangaarachchige M

May 2, 2020

By Jonathan J A A

Oct 9, 2016

By Mohit P L

Sep 28, 2020

By M A p

Jun 7, 2020

By Ben S

Jun 9, 2018

By Kondaveeti S p

Aug 9, 2020

By Amit G

Apr 20, 2021

By Renjit K S

Jun 3, 2020

By Tarun K

Feb 10, 2018

By Santiago S V

Aug 24, 2020

By Raghava P

May 3, 2020

By Waqas R

Oct 27, 2018

By Abhilash A

Sep 30, 2017

By Sri H Y

Feb 11, 2019

By John C

Jul 27, 2018

By IBRAHIM A A

Jul 9, 2018