MySQL Database Development: GIS, Cloud, & Connectors
MySQL 8.0
| Intermediate
- 10 Videos | 56m 29s
- Includes Assessment
- Earns a Badge
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
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create and use geospatial tables, fields, and indexes to manage GIS based data in MySQLwork with the basic Point, Polygon, and Geometry spatial data types in MySQLuse the MySQL collection data types like Multipoint and Multilinestring to manage collections of valuesdescribe a MySQL deployment using the Microsoft Azure cloud servicedescribe MySQL setup and migration using the Amazon Relational Database Service (RDS) and the Amazon Database Migration Service (DMS)
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describe provisioning and integrating MySQL on the Oracle Cloud using Oracle's Cloud Servicesuse the Java Database Connectivity (JDBC) connector to access MySQL from within a Java appwork with the ADO.NET MySQL connector within Visual Studiouse the Python connector to access MySQL from within a Python Appdescribe and use geospatial database types in MySQL
IN THIS COURSE
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1.Using Geospatial Data in MySQL8m 14sUP NEXT
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2.Working with the GIS Data Types7m 11s
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3.Using the Geospatial Collection Data Types3m 46s
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4.Using the Azure MySQL Service2m 57s
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5.Migrating to Amazon RDS2m 56s
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6.Integrating with Oracle Cloud2m 36s
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7.Using the MySQL JDBC Connector8m 36s
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8.Working with the ADO.NET Connector7m 48s
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9.Using MySQL via the Python Connector7m 49s
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10.Exercise: Using Geospatial Data Types4m 37s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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