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About Toward Scalable Systems For Big Data Analytics: A Technology Tutorial
This document provides a tutorial on scalable systems for big data analytics. It begins with an introduction that defines big data and discusses the challenges of big data systems. It then presents a framework that decomposes big data systems into four modules: data generation, data acquisition, data storage, and data analytics. Traditional relational database management systems are inadequate for big data. The document surveys approaches for addressing big data challenges, including cloud computing, distributed file systems, NoSQL databases, MapReduce and Hadoop. It provides an overview of technologies and architectural principles for scalable big data systems.
Detailed Information
Author: | ['Agus Suryanto'] |
---|---|
Publication Year: | 2014 |
Pages: | 36 |
Language: | English |
Format: | |
Price: | FREE |
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