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大数据导论, 加州大学圣地亚哥分校

4.6
4,952 個評分
1,222 個審閱

課程信息

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+....

熱門審閱

創建者 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.

創建者 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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1,163 個審閱

創建者 Francisco Sotomayor Huerta

Apr 25, 2019

Good introductory course about big data, thank you.

創建者 Amit Punpale

Apr 23, 2019

Excellent course. I got a very good overview of big data and hadoop. I can now take more advance courses in this topic to deepen my understanding.

創建者 Guilherme Domingos Carvalho Teixeira

Apr 22, 2019

A comprehensive overview of key concepts concerning Big Data. A good starting point for the remainder of the specialization.

創建者 Ritesh Bhat

Apr 19, 2019

In the beginning, I thought the course was a bit boring but with time I realized the importance of fundamentals. It was a great leaning experience.

創建者 José Armando Bajos Silva

Apr 19, 2019

Bune curso de los elementos basícos de bigdata así como el uso de las principales variables.

創建者 Vivek Tiwari

Apr 08, 2019

this is really a fantastic course in Big data and data science. the instructor is so nice and the content is quite good.

創建者 marella sahas reddy

Apr 08, 2019

nice

創建者 sudhanshu patel

Apr 08, 2019

It went slow but worth taking

創建者 ashishverma

Apr 07, 2019

nice course

創建者 Pedgilba

Apr 05, 2019

Simplemente muy bueno