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) […]
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 […]
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 […]
JSON is a viable option for transferring data between systems. It has the ability to include schema information along with the data which is an advantage over CSV files. In this article, Phil Factor demonstrates how he takes advantage of JSON when exporting or importing tables.
Microsoft introduced native support for JSON in SQL Server in version 2016. In this article, Phil Factor shows how to import JSON documents into to SQL Server database tables, even if there is a bit of complexity in the original data.
Nat Sundar explains the different ways to load JSON data into SQL Server, along the way also covering the use OpenRowset and OpenJSON functions to manage JSON data effectively.