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Introduction to Big Data, University of California San Diego

4.5
4,533 ratings
1,160 reviews

About this Course

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+....

Top reviews

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.

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.

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1,100 Reviews

By Montaser Ali Said

Jan 16, 2019

It is a very good course as a fundamental we must know , thank you very much

By Apurva TR

Jan 15, 2019

Very good course with excellent lecture videos by the tutors.

By Ahmed Ezz El-Din Hassan

Jan 13, 2019

It's good start and explanation for big data concepts and ecosystem.

By Paramasivan Dorai

Jan 13, 2019

This is a great course. The best part I liked about this course is connection to the real world scenarios. This helped in identifying the idea of big data. Thanks to the course organizers

By Km Shreya Singh

Jan 13, 2019

It was awsome.

By Panagiotis Tsilifis

Jan 09, 2019

Having just finished my first course on big data feels really great !

By Omar Abou Lebdeh

Jan 09, 2019

the course is very good, thanks for your effort

By Neha Rawal

Jan 09, 2019

A must to start with course for beginners

By Jordi Solé C

Jan 08, 2019

Very theoretical

By Pouya Y. Louyeh

Jan 08, 2019

Well-organized, well-illustrated, and well-presented. It is a great course to understand the basics and concepts of big data and get familiar with existing platforms!