The JSON data format found in many NoSQL databases has become popular due to its flexibility. No schema is defined or enforced for the contents of a JSON document, and the code is more “readable” than other coding languages making it easier for developers to use.
Yet, most businesses rely heavily on relational models that they have invested in consistently over many years for security, reliability, scalability, and high performance. To bring both together, new SQL functions were added to store, retrieve, and publish JSON data in relational databases.
Learn more about the specific coding techniques required to optimize JSON’s integration into IBM Db2 including:
- An overview of the benefits that using JSON and Db2 together can bring
- Expressions such as Db2 JSON functions, JSON table and JSON SYSTOOLS functions with path expressions
- How to overcome challenges such as handling inconsistencies, document integrity, document maintenance, and performance considerations
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