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Learner Reviews & Feedback for Introduction to Big Data by University of California San Diego

4.6
stars
10,952 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鈥檚 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 鈥淎bout This Mac.鈥� 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

HM

Sep 9, 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.

RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

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726 - 750 of 2,494 Reviews for Introduction to Big Data

By Amal J

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Feb 5, 2019

Well structured with relevant examples to explain the concepts better.

By Prashant N N

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Aug 30, 2018

I liked the Step by Step instructions for MapReduce Program Assignment

By saeid r t k

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Nov 23, 2016

Excellent teaching method of teaching with short informative videos :)

By Juan P G R

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Oct 8, 2016

Very good course, excellent professors. No myths, reality of big data.

By Jayashankar M

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Jun 28, 2016

It's exhaustive and resourceful course to the introduction to Big data

By CARLA I C C

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Apr 6, 2022

Excelente profesores y profesionales

Buena estructura del curso

Gracias

By Arif F L

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Dec 3, 2020

execellent course. Im grateful become a part of this learning journey

By Nabila H B M S

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Sep 5, 2020

Very informative for someone who just started to learn about big data

By kankipati r

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Jul 2, 2020

the course is very good. the teaching is very good with many examples

By ADESOLA E O

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May 2, 2020

As a Network Engineer, this course has given me additional knowledge.

By Mohan R S

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Sep 21, 2019

Very good learning series. It is very basic and very useful for a new

By Poojitha P

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Jan 20, 2019

The introduction to basic concepts was really helpful for a begginer.

By Panagiotis T

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Jan 9, 2019

Having just finished my first course on big data feels really great !

By pooja g

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Nov 17, 2018

Very well explained, the hands-on is very useful. Highly recommended!

By Ronald E S

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Oct 9, 2018

A comprehensive overview of not only Big Data, but also Data Science.

By Neeraj B

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Sep 27, 2018

Excellent course to get the basics straight and also a bit of handson

By Thomas A

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Nov 13, 2017

Perfect for someone like myself just getting into the big data world.

By Kannan T

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Nov 9, 2017

This course gave me real world approaches to solve Big Data problems.

By Ramya S

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Oct 30, 2017

Very good course to get a complete overview about BIG DATA ANALYTICS.

By SAURAV P

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Oct 15, 2016

Concept organization and presentation astute and informative. Thanks!

By Bu臒ra G

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Oct 13, 2020

Great introduction course to understand fundamentals of the big data

By Sahil W

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Sep 24, 2020

Very good course to get an overview of Big Data and related concepts

By Tuba D

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Aug 24, 2020

it was certainly not difficult but impressively useful, thanks a lot

By Giovanny F

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Jul 5, 2020

It is a good course to start getting used to some Big Data concepts.

By Yusuf C S F

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Jun 17, 2020

It was a pleasant experience and the profs taught in a great manner!