- We will send in 10–14 business days.
/images/books/3954684/9780578783246.jpg)
- Author: David Stokes
- Publisher: R. R. Bowker
- ISBN-10: 057878324X
- ISBN-13: 9780578783246
- Format: 21.6 x 27.9 x 1.2 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
JSON - JavaScript Object Notation - has become the data interchange format for most developers. MySQL added a JSON data type plus NoSQL JSON Document Store so developers can work with both relational tables and schema-less JSON document collections in version 5.7. MySQL 8.0 has introduced many new JSON centric features. This book is a practical guide on how to take advantage of JSON data with a MySQL database with numerous easy-to-follow examples, clear explanations, and coding examples. This book will become your reference guide on using JSON data with a MySQL database, the numerous functions used with JSON data, the functions that can convert non-JSON relational data into JSON, the MySQL Document Store, and converting JSON data temporarily into structured (SQL) data for processing with SQL commands.
The promotion ends in 
- Author: David Stokes
- Publisher: R. R. Bowker
- ISBN-10: 057878324X
- ISBN-13: 9780578783246
- Format: 21.6 x 27.9 x 1.2 cm, softcover
- Language: English English
JSON - JavaScript Object Notation - has become the data interchange format for most developers. MySQL added a JSON data type plus NoSQL JSON Document Store so developers can work with both relational tables and schema-less JSON document collections in version 5.7. MySQL 8.0 has introduced many new JSON centric features. This book is a practical guide on how to take advantage of JSON data with a MySQL database with numerous easy-to-follow examples, clear explanations, and coding examples. This book will become your reference guide on using JSON data with a MySQL database, the numerous functions used with JSON data, the functions that can convert non-JSON relational data into JSON, the MySQL Document Store, and converting JSON data temporarily into structured (SQL) data for processing with SQL commands.
Reviews