@incollection{Gudivada2016Be,
  author      = {V. Gudivada},
  title       = {Data Analytics: Fundamentals},
  editor      = {Mashrur Chowdhury and Amy Apon and Kakan Dey},
  booktitle   = {Data Analytics for Intelligent Transportation Systems},
  publisher   = {Elsevier},
  address     = {New York, NY},
  year        = {2017},
  month       = apr,
  pages = {31 -- 67},
  note = {ISBN: 978-0-12-809715-1},
  abstract = {This chapter provides a comprehensive and unified view of data analytics fundamentals. Four functional facets of data analytics --- descriptive, diagnostic, predictive, and prescriptive --- are described. The evolution of data analytics from SQL analytics, business analytics, visual analytics, big data analytics, to cognitive analytics is presented. Data Science as the foundational discipline for the current generation of data analytics systems is explored in this chapter. Data lifecycle, and data quality issues are outlined. Open source tools and resources for developing data analytics systems are listed. The chapter concludes by indicating emerging trends in data analytics.},
}

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