Chevron Left
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
10,532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

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.

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.

フィルター:

Introduction to Big Data: 176 - 200 / 2,417 レビュー

by Vijay H G

2018年3月25日

by Francisco A

2017年6月6日

by Zarak K

2020年10月13日

by ARBAZ K

2020年6月24日

by Juan C A J

2021年2月18日

by Gabriel M

2020年11月19日

by Aditya S

2017年12月26日

by 055_MOHIT

2022年4月3日

by raghunath s

2020年3月29日

by A V R M K

2019年5月2日

by Paramasivan D

2019年1月13日

by Clement F

2017年9月24日

by Ashwin S

2017年6月21日

by Chan S M

2020年7月31日

by Sonia S

2019年12月17日

by Laura D Z

2017年7月30日

by John M R M

2020年4月11日

by Rajib K

2017年4月17日

by David C

2021年8月28日

by Mahesh S

2019年10月21日

by juan

2020年12月11日

by Alejandra U M

2020年10月19日

by Imtiaz A

2020年10月17日

by Mahesh M S

2020年7月18日

by Lauro O

2017年7月2日