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
10,976 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

AR

Mar 30, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

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:

1726 - 1750 of 2,498 Reviews for Introduction to Big Data

By boulealam c

•

Dec 13, 2020

good

By Saish� D

•

Nov 20, 2020

nice

By Chongyu Z

•

Oct 22, 2020

good

By 박민규

•

Oct 11, 2020

good

By NILAY M

•

Sep 29, 2020

Good

By Mohamed s

•

Sep 23, 2020

Good

By Dr.A.Jeyanthi B C

•

Aug 28, 2020

Good

By Madhuri S

•

Aug 1, 2020

Good

By Safia A

•

Jul 27, 2020

good

By Sutanu S

•

Jul 25, 2020

nice

By RAGHUVEER S D

•

Jul 25, 2020

good

By Rajesh R

•

Jul 16, 2020

Good

By Narasimha N

•

Jul 9, 2020

Nice

By Onkar M C

•

Jul 9, 2020

Nice

By SAYANTAN D

•

Jun 24, 2020

Nice

By Vimonisha.a

•

Jun 23, 2020

good

By B M S

•

Jun 23, 2020

good

By GAYATHRI

•

Jun 18, 2020

GOOD

By Dr. A S

•

Jun 17, 2020

Best

By Shourya k

•

Jun 8, 2020

nice

By �Samiran K

•

Jun 5, 2020

Good

By Mosfiqun N H

•

Jun 2, 2020

Good

By ANAGHA H

•

May 26, 2020

Good

By 46546

•

May 20, 2020

good

By N S

•

May 14, 2020

Good