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Introduction to Big Data, University of California San Diego

4.6
4,832 ratings
1,208 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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1,149 Reviews

By Navneet Kaur Dhanda

Mar 25, 2019

Very Theoretical

By harissaeed

Mar 23, 2019

great experience

By Ahmed Raza

Mar 21, 2019

Recommended to my colleagues in my department.

By Soe Sanda Nwe

Mar 18, 2019

Can get the basic knowledge and hand on experience.

By Guillermina Senn

Mar 16, 2019

Good introduction (not very technical), takes a day to complete with velocity 1.75x

By Liliana del Carmen Castellanos Montero

Mar 16, 2019

Un curso excelente

By Reyad Nady Elhamzawy

Mar 16, 2019

it's awesome course you'll take

By Chukwudi Franklin Amanze

Mar 13, 2019

Very rich and practical

By Swapnil Dewangan

Mar 11, 2019

Good to start with Big Data platform.

By Juan Alvarez-Bolado

Mar 09, 2019

Perfect as a first step in this amazing world of Data Science&Big Data!