Identifying relevant data quality issues and creating awareness within organizations of the threats and costs is an important step in an enterprise-wide data quality strategy. This includes implementing systems and processes that enable organizations to continuously monitor the value of data, as well as creating processes to directly address errors in data processing.
With HEDDA.IO we focus on these challenges and provide a system to integrate data quality into almost all processes within your organization.

In this session we will show how quickly and easily Azure Synapse Analytics, Azure Databricks or .NET Interactive data processes can be extended with a Data Quality component and how you can add data observabilities to different scenarios.