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What is Open Source Analytics Platforms

Chapter 15
Handbook of Research on Cloud Infrastructures for Big Data Analytics
Open Source analytics platforms adoption is has already gained momentum. Open source R has already emerged as a leading platform for statistical innovation and collaboration both in academic and industry. Adoption is evident with commercial vendors of R, such as Revolution Analytics, focusing on scaling the R computing language.
Published in Chapter:
Big Data Predictive and Prescriptive Analytics
Ganesh Chandra Deka (Ministry of Labour and Employment, India)
Copyright: © 2014 |Pages: 22
DOI: 10.4018/978-1-4666-5864-6.ch015
Abstract
The Analytics tools are capable of suggesting the most favourable future planning by analyzing “Why” and “How” blended with What, Who, Where, and When. Descriptive, Predictive, and Prescriptive analytics are the analytics currently in use. Clear understanding of these three analytics will enable an organization to chalk out the most suitable action plan taking various probable outcomes into account. Currently, corporate are flooded with structured, semi-structured, unstructured, and hybrid data. Hence, the existing Business Intelligence (BI) practices are not sufficient to harness potentials of this sea of data. This change in requirements has made the cloud-based “Analytics as a Service (AaaS)” the ultimate choice. In this chapter, the recent trends in Predictive, Prescriptive, Big Data analytics, and some AaaS solutions are discussed.
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