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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



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+....




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.



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.


Introduction to Big Data: 2276 - 2300 / 2,406 レビュー

by Nesrine E


Good introduction to big data. I would prefer that the hadoop lesson have more practical exercices;

by André F


Should spend more time explaining the commands in hadoop and also have more practical exercises

by Emily C


Good course, but peer-reviewed assignments make it difficult to learn from feedback.

by Gabriel E


Good course if you do not have any idea about Big Data and the technology used.



Quite basic, i would like it more if it provided a more background on hadoop

by akhil r k


It's a good introduction, but more optional hadoop exercises can be added.

by Fernando A S G


A good summary about big data basics. Well structured. Very good course!

by Nadeem


It would be good if more explanation and more examples are demonstrated.

by Patil S S S


mostly everything was theoretical , much practical knowledge was needed

by Deleted A


only theoretical knowledge, no practical use is shown in implementation

by Prajit A


there are pauses and disruptions and it doesn't cover a lot materials

by Panumate C


not enough technical contents and too easy

Anyway, thank you very much

by Deleted A


The audio quality is so bad in the videos - it's really distracting.

by Amir K


Only skims the surface of Big Data, even for an introduction course.

by 刘佳欣


very introductory, not so deep. But can work as a basic overview~

by Manik S


Very easy. Videos are too slow, almost felt like a waste of time



The classes could have been delivered by creating more interest.

by Swati T


Was good foundational course. week 3 was most important for me

by Muhammad S V


this course need some odifications because of cloudera version

by eyal


To my opinion, the intro course should be shorter and faster.

by Bhuvvaan C P


Introductory Level Course.Nothing much on analytical methods.

by Fazila P P


unable to understand some concept and it is not very clear

by Miguel G


Very good material but, in my opinion, too many seminars :)

by Rahul P


The assignments and the quizes seemed pretty shallow...

by Haochuan W


Watch out for trolls in the peer grading assignments..