• import tags

• export descriptions from Dataedo into Snowflake

We will research the possibility to integrate with the tool and if possible we will introduce this tool into our application

Data profiling functionality for Databricks connector

Service principal authentication for Azure Synapse and Microsoft Dataverse will allow users to use scheduler with them

We will research the possibility to integrate with the tool and if possible we will introduce this tool into our application

We’re introducing a feature to keep your users informed about changes in Dataedo. Whether it’s a new master data object, newly imported metadata, or failing Data Quality rules, they’ll receive updates. You’ll also be able to customize how often these emails are sent.

We plan to provide you a list of suggestions for Foreign Keys columns.

Marketplace allows users to "shop" for available datasets, similar to an online store. Users can browse, explore metadata, and request access to the datasets they need.

At the moment building lineage manually is available only in the Dataedo Desktop. We're making it possible to build lineage within our Portal too.

We want to make it easier to organize data sources and allow to group them into folders. These folders will be optional and will allow you to group the sources anyhow you would like to see them.

It is especially required if a repository contains of a large amount of sources and it's hard to go through them in a flat list.

This feature enables seamless integration of SQL Server Reporting Services (SSRS) report usage statistics into the Dataedo. By importing metrics such as view counts and user counts, it provides valuable insights into the popularity and importance of each report. Organizations can identify their most critical and frequently accessed reports, as well as those that are underutilized, empowering data teams to optimize their reporting landscape, focus on high-impact reports, and improve overall resource allocation.

We plan to implement objects hierarchy and reports embedding in Portal.

With the advent of Big Data, relational databases abandoned their strict data models in many places and developers are saving unstructured data in text/JSON columns. Understanding of the structure of documents in those columns is as crucial as understanding columns in a table. Therefore, we will provide a JSON scanner for columns identified by data stewards (Data Steward Assistant could also suggest such fields). This scanner will extract schema of the JSON document and create a linked

To make Dataedo hosting easier, we are working on repository hosted on PostgreSQL.

To make it easier to find the right report, dataset or column Dataedo Portal will be showing similar objects based on various built in rules.

Dataedo Portal can currently draw a diagram of lineage for a database view or SQL query. In the future we would like to visualize query joins (including nested queries) in an ER diagram (similarly to how SSMS does it).

We're planning on adding language switcher to the Portal as at the moment the only available language is English. The full list of languages is to be defined.