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返回到 大数据导论

學生對 加州大学圣地亚哥分校 提供的 大数据导论 的評價和反饋

4.6
10,482 個評分
2,452 條評論

課程概述

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+....

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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.

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201 - 大数据导论 的 225 個評論(共 2,400 個)

創建者 Peter R V A

2017年7月22日

This was an excellent course on introduction to Big Data. The videos were really useful. This being my course from coursera I'm looking forward to do more course here. Thanks a lot.

創建者 Jason M

2016年8月8日

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.

創建者 Leonardo F M

2022年6月26日

​The introduction on Big Data helps you understand how any manager has to lead with data. It shows what matters and how you have to work for analysing a big amount of information

創建者 Tarik B

2017年12月11日

This was a very good course. The move pretty quickly through the necessary bits of information you need about each subject. This will definitely help me in conversations at work.

創建者 Rahul T

2017年10月28日

Thank you so much for your sharing your great experience with us. This really helped me to learn a lot about Big Data. Real life examples and experiences are are just awesome. :)

創建者 Satyendranath Y

2017年7月16日

This is the very good session where the trainers have been explain each and every aspect of BigData with real time and real life examples. I have learned a lot and enjoyed a lot.

創建者 Quentin B

2018年10月15日

This course was a great opportunity to have an overview of what is the BigData and what does it use influence the businesses and our daily lives. Good job from the professors!

創建者 Luis M

2020年10月30日

I work in finance, so I was new to many concepts, but the course is very well grounded in very basic concepts both of the world of data and the technical aspects of big data.

創建者 Aldo C A M

2020年6月29日

So useful to better know the fundations of Big Data! I thought it was going to be only about theory but fortunately we did some stuff in the command line too and I loved that

創建者 Shorav V

2020年5月6日

This Course helps us to learn a variety of Course Content and we can also check that how much we can raise our level along with the knowledge. Thank you for this Opportunity.

創建者 Lucas A

2020年12月15日

Awesome introduction to the hadoop ecosystem and how to assess whether Big Data is really a fit for one current's needs. Without all the buzz currently surrounding the topic

創建者 Pavnish K R

2017年10月11日

thanks coursera organization to recommended me this course. Before start this course i had no knowledge about the Big Data but now i have lot of knowledge about this course.

創建者 Deleted A

2017年9月19日

The mentors are really very good in teaching.i like to be a part of this free demo section and i know how much interesting facts that i am going to learn in another section.

創建者 Yuqing Z

2018年9月12日

Great introductory course. It is great for people with absolutely no big data knowledge like me. It explains concepts clearly. Look forward to other courses in this series.

創建者 Luis H

2016年9月6日

Good introductory course. The first lessons are slow so I recommend watching them on 2x speed. The last lesson (hands on) is better because it gives a real taste of hadoop

創建者 Arpan B

2021年7月2日

​Really loved it. The professors explained from the very basic. Also the way they made me understand this course with examples from our day to day experiences, is awesome.

創建者 SHIVANI S

2020年5月5日

It was really helpful and I completely enjoyed doing the course because of the hands on project at last.I gained much more than wha ti knew in the class.

Thankyou Coursera

創建者 Eduardo C S

2020年2月21日

Aprendi muito sobre os conceitos do Big Data, quais seus benefícios e como utilizá-lo. Também aprendi sobre o ecosistema Hadoop e os Core (HDFS, Yarn, MapReduce) do mesmo.

創建者 Наталья Д

2018年8月22日

I really liked the course. For me, this is a completely new and unknown facet. Practical tasks-it's super! Make with interest to achieve results. Wow! Thank you very much!

創建者 Tuan N

2019年12月12日

Easy understanding the course, suitable for newbie. Reasonable schedule and assignment pressure push learners go ahead. Sometimes system email encourages you not give up.

創建者 Francisco B A

2022年5月4日

I am in the middle of this course, but it is really great! I completed some other courses regarding Big Data but this course has some practical and interesting examples.

創建者 Eitan A

2017年7月24日

Great Class, perfect for a novice such as myself. In fact, I was surprised how much I learned on the basics of big data and the Hadoop environment in such as short time.

創建者 Raul A H

2017年7月18日

Good introductory course. Basic concepts are accurately defined. Hadoop intro is in appropriate pace for newers. Clear explanations. Looking forward to the next course.

創建者 Deleted A

2020年7月12日

Exact knowledge of what I want to enroll myself into an introduction to bigData Technology

Really it helped a lot to jump in BigData, I'll continue the following courses

創建者 Oluwasegun ' I

2020年4月8日

This is a great introduction to Big Data. The instructors did an excellent job of teaching with real world examples that will enable you to understand complex concepts.