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Вернуться к Введение в большие данные

Введение в большие данные, Калифорнийский университет в Сан-Диего

4.6
Оценки: 4,710
Рецензии: 1,187

Об этом курсе

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+....

Лучшие рецензии

автор: 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.

автор: 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.

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Рецензии: 1,127

автор: ERIC VAN SICKEL

Feb 20, 2019

It was a nice introduction to the subject. The last quiz was pretty lame though.

автор: Vidula Ankireddy

Feb 20, 2019

Excellent Course

автор: NIVEDHITHA MAHALINGAM

Feb 14, 2019

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автор: VIKRANT PATIL

Feb 14, 2019

Excellent course material, enjoyed learning.

автор: Gitesh Waghmode

Feb 13, 2019

very nice course

автор: Ravichandra N

Feb 13, 2019

Very nice course!

автор: Sri Harsha Yerneni

Feb 12, 2019

Excellent explanation with examples. I however think this course is like 4 years old to date and needs to include any recent changes in big data scope

автор:

Feb 12, 2019

This course does not only introduce me to Big Data concept but also change my perspective in Big Data. Well done.

автор: Durgesh Jain

Feb 11, 2019

A highly user friendly course that teaches the concepts in a way that anyone can easily understand.

автор: Laurent STEFANI

Feb 10, 2019

I have rarely seen a course that is so terrible