Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement. Gudu SQLFlow can connect to the Azure SQL…
Snowflake is a cloud-based data management platform that provides enterprises with a flexible, scalable architecture for effective data collaboration. Gudu SQLFlow can connect to the Snowflake database via its own connection. It can automate metadata discovery to deliver a complete,…
Gudu SQLFlow can connect to the SQL Server/MSSQL database via its own connection. It can scan the metadata and read all the SQL stored procedure code and logic stored in it. Using this information, Gudu SQLFlow creates a detailed visualization…
Big data and data analytics have been a very popular term for the past few years and will continue to be so. The advent of new and best data analysis software and tools in 2022 will revolutionize the way we…
Data has become the core element to enhance the competitiveness of enterprises, and effectively managing and using data has become a rigid need for enterprises. More and more enterprises use metadata management tools to manage data generated in cloud computing,…
Gudu SQLFlow is an analysis software for analyzing SQL statements and discovering data lineage relationships. It is often used with metadata management tools and is a basic tool for enterprise data governance. In this article, we’ll give a brief introduction…
In this article, we’ll take a closer look at 6 best practices for data governance. Before diving into our article, let’s think together why good data governance is so important? Consider what it could lead to without it: poor data…
Data lineage is a feature of DAX that most developers don’t know exists when they use it. This article focuses on data lineage in DAX and how it can help us generate better DAX code. Before diving into our article,…
In this article, we’ll take a closer look at data lineage, the key to understanding your data landscape. Nowadays, most organizations face the complexity of data jumbled on servers from various vendors that may support different platforms. These diverse big…
