Esri India User Conference

January 19 – 20, 2017 | The Leela Ambience Convention Hotel, Delhi

big data

Big Data & Spatial Analytics

Today, most of the Big Data comes attached with explicitly a location (spatial component) in the form of geographical coordinate or implicitly in the form of an internet address or a tweet "I'm eating a Chicago style pizza in downtown Boston". This spatial data and spatio-temporal data is tremendously valuable in helping organizations operate more efficiently and companies market more effectively.

An Esri India seminar on Big Data and Spatial Analytics explores how to organize, visualize and analyze large amounts of data from different sources into the ArcGIS platform and discover new insights. Discover how these patterns, trends and relationships help make better decisions. The session introduces different techniques used around Big Data and shows how that may be used in combination with the ArcGIS platform.

This seminar also includes a short review of the tools that allows users to aggregate at a spatial, temporal and attribute level billions of records to be analyzed and visualized in non-traditional way. In addition, the application of GeoStatistics will be demonstrated to turn BigData into actionable information.

Who Should Attend?

  • CIOs / CTOs
  • GIS Professionals
  • Head of IT / IT Directors
  • Enterprise Architects
  • Big Data / Analytics / Predictive Analytics Professionals
  • Data Mining / (Master) Data Management/ Business Intelligence Professionals
  • Data Architects / Data Scientists


Mansour Raad

Mansour Raad

Big Data Advocate
Senior Software Architect

With over 30 years of experience in the IT/GIS field, Mansour is the lead BigData Subject Matter Expert at Esri as a Cloudera certified Hadoop developer and HBase specialist. In this role, he often assists commercial and government customers in implementing BigData geospatial solutions. He has performed as team lead in architecting and implementing product solutions for ArcGIS. Mansour holds a Master's degree in Aerospace Engineering from Boston University and frequently blogs on BigData topics and examples of geospatial implementations at Currently, he is an adjunct faculty member of John Hopkins University where he teaches an online advanced placement course on "BigData Analysis Tools and Techniques".