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Webinar: Hybrid Data Models Relational + JSON
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About the Webinar:
JSON is preferred by web and mobile developers because it is simple and flexible. It is human readable and semi-structured. JSON is easy to use. DBAs prefer relational databases because they are reliable and secure – enforcing data integrity via constraints and transactions. What’s the best way to support developers and DBAs without deploying two separate databases, further complicating things?In this webinar, we’ll explore the use of hybrid data models (relational + JSON) with MariaDB TX to provide faster schema evolution / more schema flexibility, and walk through 22 examples showing how hybrid data models can be created, indexed and queried. MariaDB TX includes a comprehensive set of JSON functions for reading, writing and querying JSON documents – and converting rows to JSON documents and vice-versa.
You will learn:
The pros and cons of using semi-structured data in a relational database
The capabilities and limitations of JSON functions for SQL
How to validate JSON documents and maintain data integrity
Where and when to use JSON documents instead of relational data
JSON is preferred by web and mobile developers because it is simple and flexible. It is human readable and semi-structured. JSON is easy to use. DBAs prefer relational databases because they are reliable and secure – enforcing data integrity via constraints and transactions. What’s the best way to support developers and DBAs without deploying two separate databases, further complicating things?In this webinar, we’ll explore the use of hybrid data models (relational + JSON) with MariaDB TX to provide faster schema evolution / more schema flexibility, and walk through 22 examples showing how hybrid data models can be created, indexed and queried. MariaDB TX includes a comprehensive set of JSON functions for reading, writing and querying JSON documents – and converting rows to JSON documents and vice-versa.
You will learn:
The pros and cons of using semi-structured data in a relational database
The capabilities and limitations of JSON functions for SQL
How to validate JSON documents and maintain data integrity
Where and when to use JSON documents instead of relational data