糖心vlog官网观看

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

AR

Mar 31, 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 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.

Filter by:

2051 - 2075 of 2,498 Reviews for Introduction to Big Data

By Dominik S

鈥�

Feb 10, 2019

Very interesting introduction. I will follow up with the next courses.

By Bernardo F

鈥�

Feb 16, 2018

I liked very much, but I believe you can add more practical exercises.

By Martin A

鈥�

Sep 29, 2017

Great course, although hands-on excercises should be more challenging.

By Nitin G

鈥�

Aug 18, 2017

The content was very good but the explanation good be improved a bit.

By SHREYA M

鈥�

Jun 25, 2021

informative course for students who want to learn from the scratch .

By Ahmed E E

鈥�

Jan 14, 2019

It's good start and explanation for big data concepts and ecosystem.

By Christopher C

鈥�

Apr 7, 2018

I liked the course. I wish there were more lessons involving Hadoop.

By Dr. J K

鈥�

Jun 20, 2021

Please update content and tool. A lot of issue with the cloudera vm

By Jhon F B L

鈥�

Apr 20, 2021

Very interesting course. Great to get started with hadoop ecosystem

By Daniel L

鈥�

Sep 2, 2020

great course, although audio tends to be soft in the starting week.

By Santiago L E

鈥�

Nov 4, 2019

Sirve para entender el Big Data de manera teorica y muy muy b谩sico.

By Gabriel S

鈥�

Oct 21, 2019

Couls have a little more hands on training material with Hadoop VM.

By 袣芯薪褋褌邪薪褌懈薪 袣

鈥�

Feb 9, 2018

Good foundations and delivering general idea of how MapReduce works

By Nathan B

鈥�

Jul 21, 2022

It's very informative, but it ends with a peer-reviewed worksheet.

By ASHUTOSH K

鈥�

Jul 19, 2021

Best course for beginners on Big Data. Loved studying this course!

By SG

鈥�

Aug 14, 2018

Wonderful course.. Has got me off to a great start about Big Data.

By Radhika

鈥�

Jan 3, 2018

Installation of hadoop on vm from scratch should be explained too.

By Lang Y

鈥�

Oct 27, 2017

A little too general except for last part that talks about Hadoop.

By Jonathas M

鈥�

Aug 9, 2016

Excellent for a introduction course. More exercises would be nice.

By Mrutyunjaya S Y

鈥�

May 13, 2020

Very Informative and hands on programming is too good to practice

By Alexander A

鈥�

Dec 27, 2019

More practical examples with Hadoop environment would be helpful.

By Shuai M

鈥�

Dec 23, 2018

good starting course for knowing the 3 main types of data source.

By Ronald M

鈥�

May 1, 2017

Some quiz have some bad wording which make it hard to understand.

By Marwan E M

鈥�

Mar 24, 2018

Nice course especially for beginners without a prior knowledge.

By Keerthi V

鈥�

May 25, 2020

i got a good knowledge about the big data in our growing world