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GIST 7160 - GIS Databases & Big Data

Geographic Information Systems Part-time Studies Course

School of Construction and the Environment

Course Details

This course is an introduction to database systems and Big Data. Topics will include database and GIS terminology. Database systems will be compared e.g. RDBMS, ODBMS and RDBMS. ESRI’s enterprise geodatabase will be examined. Data modelling: conceptual, logical and physical and data normalization, will be reviewed. SQL and data integrity constraints will be covered. Finally a basic introduction to what big data is, how it can be imported into a geodatabase, and the data visualized with ArcGIS.

Prerequisite(s)

GIST 7100 and GIST 7128

Credits

3.0

This course isn't currently offered through BCIT Part-time Studies. Please check back next term or subscribe to receive email updates.

Learning Outcomes

Upon successful completion, the student will be able to:

  • Distinguish between and give examples of data concepts such as raw data vs metadata, spatial vs attribute, structured vs unstructured vs semi-structured, and big vs little.
  • Distinguish between and give examples of DBMS models: RDBMS, OODBMS, ORDBMS, GIS, LIS, Spatial DBMS, Graph DBMS. ·
  • Distinguish between and give examples of spatial data structures.
  • Describe the architecture of a modern enterprise spatial DBMS.
  • Create attribute and spatial queries using spatial enabled SQL.
  • Implement spatial databases using GIS desktop tools including ArcGIS.
  • Download and import sample Big Data into a geodatabase from a Big Data database.
  • Visualize a Big Data derived dataset using ArcGIS.

Effective as of Fall 2016

Related Programs

GIST 7160 is offered as a part of the following programs:

School of Construction and the Environment

  1. Geographic Information Systems
    Part-time/Distance & Online Learning   Advanced Certificate

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