GIS, Cloud, & Connectors

MySQL 8.0    |    Intermediate
  • 10 Videos | 1h 59s
  • Includes Assessment
  • Earns a Badge
Likes 16 Likes 16
GIS data types, cloud integration, and low level access for database performance give MySQL the power necessary to handle many data storage tasks. Explore these features in MySQL.

WHAT YOU WILL LEARN

  • create and use geospatial tables, fields, and indexes to manage GIS based data in MySQL
    work with the basic Point, Polygon, and Geometry spatial data types in MySQL
    use the MySQL collection data types like Multipoint and Multilinestring to manage collections of values
    describe a MySQL deployment using the Microsoft Azure cloud service
    describe MySQL setup and migration using the Amazon Relational Database Service (RDS) and the Amazon Database Migration Service (DMS)
  • describe provisioning and integrating MySQL on the Oracle Cloud using Oracle's Cloud Services
    use the Java Database Connectivity (JDBC) connector to access MySQL from within a Java app
    work with the ADO.NET MySQL connector within Visual Studio
    use the Python connector to access MySQL from within a Python App
    describe and use geospatial database types in MySQL

IN THIS COURSE

  • Playable
    1. 
    Using Geospatial Data in MySQL
    8m 14s
    UP NEXT
  • Playable
    2. 
    Working with the GIS Data Types
    7m 11s
  • Locked
    3. 
    Using the Geospatial Collection Data Types
    3m 46s
  • Locked
    4. 
    Using the Azure MySQL Service
    2m 57s
  • Locked
    5. 
    Migrating to Amazon RDS
    2m 56s
  • Locked
    6. 
    Integrating with Oracle Cloud
    2m 36s
  • Locked
    7. 
    Using the MySQL JDBC Connector
    8m 36s
  • Locked
    8. 
    Working with the ADO.NET Connector
    7m 48s
  • Locked
    9. 
    Using MySQL via the Python Connector
    7m 49s
  • Locked
    10. 
    Exercise: Using Geospatial Data Types
    4m 37s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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