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Introduction to Big Data, カリフォルニア大学サンディエゴ校

4.6
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1,239件のレビュー

このコースについて

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

by 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.

by 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.

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1,182件のレビュー

by

May 20, 2019

Course structure is great and its easy to learn for beginners.

by Abhinandan Narendra

May 20, 2019

Everything at high level, people have to imagine things to really understand what is being said. Seriously has to work on the deliverable and plan.

by Jiang Qijia

May 19, 2019

It's a entire introduction to Big Data.I get a lot of fundamental knowledge about this filed and full of interests to dig into this course.

But there is still a little shortage.As a course close to CS,maybe should practice us to build own development environment instead of using pre-set environment.Or make an optional module for this with universal consideration.

by Devvrat Jain

May 18, 2019

very nice and informative

by BHARATBHUSHAN KUMAR

May 17, 2019

excellent

by Ashok Kumar

May 17, 2019

Awesome learning experience and added great value to my knowledge, thank you so very much

by ADITYA SHRIDHAR KAMAT

May 14, 2019

If you don't have any idea about what Big Data exactly is and If you want to explore more about the same then this course is for you!

by Rongon Chatterjee

May 14, 2019

Perfect for starters!

by Utkarsh Kumar

May 12, 2019

Easily Understandable Course

by Matthew Lee Mellinger

May 11, 2019

Good intro that also helped me understand some of my previous assumptions