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Introduction to Big Data に戻る

カリフォルニア大学サンディエゴ校 による Introduction to Big Data の受講者のレビューおよびフィードバック

4.6
10,506件の評価

コースについて

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+....

人気のレビュー

DK

2021年8月11日

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

2019年9月8日

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.

フィルター:

Introduction to Big Data: 2151 - 2175 / 2,406 レビュー

by kawaldeep

2020年2月15日

it was very basic.

by Hosna A B

2020年1月16日

course was lengthy

by Jackson M

2018年1月29日

Good introduction.

by Remco W

2017年6月30日

Great introduction

by Nannaphat S

2021年6月8日

Good for beginner

by Jorge A V C

2020年10月17日

Was a good course

by Dong D P

2017年3月15日

Good for beginner

by Hector J D

2017年2月5日

Good Introduction

by Jean-Francois B

2020年9月24日

Very interesting

by Harpreet K G

2020年9月13日

very informative

by LAVANYA S B

2020年5月20日

more informative

by ahmed s

2020年4月6日

good inforamtion

by Navneet K D

2019年3月25日

Very Theoretical

by Gitesh W

2019年2月13日

very nice course

by Rafael U

2017年9月3日

Excelent course!

by Stark

2016年10月13日

Very basic info.

by vaishnavi S M

2020年9月17日

it is excellent

by Sorgo W C

2020年5月30日

EXELLENTS COURS

by touzani y

2019年6月24日

Excelent course

by Piyush T

2018年12月6日

too much theory

by Ivan A

2018年6月19日

Too much theory

by Jerome T B

2021年2月22日

c'etais wahouu

by rajavardhan s

2018年1月25日

course is good

by MUYIDEEN S

2017年11月19日

Very educative

by goutham

2017年3月16日

good lectures.