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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,296개의 평가
1,291개의 리뷰

강좌 소개

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+....

최상위 리뷰

PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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.

필터링 기준:

Introduction to Big Data의 1,233개 리뷰 중 76~100

교육 기관: Vivek T

Apr 08, 2019

this is really a fantastic course in Big data and data science. the instructor is so nice and the content is quite good.

교육 기관: Ilya P

Jan 24, 2019

Great course for those who just start understanding Big Data and Data Science.

교육 기관: Jorge d l C

Feb 07, 2019

Great!! Love your lessons

교육 기관: Vidula A

Feb 20, 2019

Excellent Course

교육 기관: Km S S

Jan 13, 2019

It was awsome.

교육 기관: Paramasivan D

Jan 13, 2019

This is a great course. The best part I liked about this course is connection to the real world scenarios. This helped in identifying the idea of big data. Thanks to the course organizers

교육 기관: Mhd K D

Jul 14, 2018

All the contents were explained in a great way, also each assignment was related to the topicamazing explanation, keep it up .

교육 기관: Devon E

Jul 13, 2018

Brilliant overview of the data landscape - The instructors are clear and concise

교육 기관: Juan P G M

Jul 17, 2018

Excelente para iniciar en el mundo del Big Data

교육 기관: Francisco M F F

Nov 19, 2017

Magnífico curso que te pone el la parrilla de salida de una carrera fascinante como es el Big Data

교육 기관: Yash V

Jun 19, 2017

Awesome teachers and a well rounded course curriculum to step in to the world of Big data

교육 기관: nandhinisampath

May 19, 2017

This course is very useful for beginners.

교육 기관: Leon N

Nov 21, 2016

Good introduction to Big Data and Hadoop

교육 기관: Ashutosh k

Feb 26, 2017

fantastic

교육 기관: Taha M M

Dec 08, 2017

Amazing as usual :-) Like it...

교육 기관: Jason M

Aug 08, 2016

This course gave us very clear instruction what the basic ideas are about big data and the structure of Hadoop. It's very easy to understand even without any background knowledge.

교육 기관: mohamed g

Feb 19, 2018

the course is very useful to whom start their career in big data

교육 기관: Lambros M

Dec 17, 2016

Excellent introduction into big data. Material is well organized and well presented for anyone that is not familiar with big data

교육 기관: Sandeep N

May 30, 2017

Excellent course. Easy to understand, well explained !

교육 기관: Márcio R

Feb 15, 2017

great!

교육 기관: David V

Nov 02, 2016

Excellent Introduction Course!

교육 기관: Raunak S

Feb 27, 2018

nice course for those who wish to get started with the basics of big data, map-reduce and hadoop.

교육 기관: Brooke W

Mar 23, 2018

Course is informational, relevant and helpful. Great start. Transcripts are also great and useful

교육 기관: Elvismary M d A

Jul 05, 2017

I understand every think that was exposed in thiscourse. I think the organization of this was very difficult because the huge materials that data science and big data are related. Thanks the professors to organize well all these ideas.

교육 기관: 李欣

Jul 09, 2016

看了之后,对大数据相关会有一个整体的理解。