Effective Strategies for Storing and Parsing JSON in SQL Server

Like XML, JSON is an open standard storage format for data, metadata, parameters, or other unstructured or semi-structured data. Because of its heavy usage in applications today, it inevitably will make its way into databases where it will need to be stored, compressed, modified, searched, and retrieved.

JQ - Tool for Querying JSON documents using the CLI

Learn how you can query JSON data from a CLI to check it before importing the data into a database.

Extracting JSON

The JSON Table

Getting the JSON Index

How to Flatten JSON in Azure Data Factory?

When you work with ETL and the source file is JSON, many documents may get nested attributes in the JSON file. Your requirements will often dictate that you flatten those nested attributes. There are many ways you can flatten the JSON hierarchy, however; I am going to share my experiences with Azure Data Factory (ADF) […]

Default OPENJSON

Reading and Writing your Database's Documentation using JSON

One of the problems to which I keep returning is finding the best way to read and apply documentation for databases. As part of a series of articles I'm doing for Redgate's Product Learning, I've been demonstrating how to maintain a single source of database documentation, in JSON, and then add and update the object […]

The JSON Basic Query

NoSqlOnSql

Introduction NoSqlOnSql is a strict syntactical superset of SQL; it adds NoSQL document-oriented capabilities to the SQL language. For this, it uses uses JSON-like documents, integrating them into the normal flow of SQL statements. NoSqlOnSql is based on augmenting a SQL database to support NoSQL features without any kernel changes. In this sense it is […]