title: Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources (Expert's Voice in Big Data)
author:  Peter Zadrozny 
description: Peter Zadrozny is an independent consultant specialized in big data, software performance, and architecture. He is also a lecturer on big data topics at San Jose State University. He has held various executive and technical roles in many countries around the world for startups as well as Fortune 500 companies. He started the operations of WebLogic in Europe and Sun Microsystems in Mexico. He is an accomplished author with various successful books, a magazine, and was an original contributor to The Grinder, a popular open source project.
zlib_text: future internet
  Article
  Suitability of Graph Database Technology for the
  Analysis of Spatio-Temporal Data
  Sedick Baker Effendi 1,*
  , Brink van der Merwe 1 and Wolf-Tilo Balke 2
  1
  Department of Computer Science, Stellenbosch University, Stellenbosch 7600, South Africa;
  abvdm@cs.sun.ac.za
  2
  Institute for Information Systems, TU Braunschweig, D-38106 Braunschweig, Germany;
  balke@iﬁs.cs.tu-bs.de
  *
  Correspondence: dbe@sun.ac.za; Tel.: +27-834-324-666
  Received: 30 March 2020; Accepted: 23 April 2020; Published: 26 April 2020
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  Abstract: Every day large quantities of spatio-temporal data are captured, whether by Web-based
  companies for social data mining or by other industries for a variety of applications ranging from
  disaster relief to marine data analysis. Making sense of all this data dramatically increases the
  need for intelligent backend systems to provide realtime query response times while scaling well
  (in terms of storage and performance) with increasing quantities o