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Dataedo 9.1 - Document Data Lakes and build Data Community

I'm happy to share new functionalities we released today in Dataedo, a data catalog & documentation software - Data Community module and editing of descriptions in Dataedo Web Catalog, and support for semi-structured files in the product.

New in 9.1

Data Community in Web Catalog

This one is a game changer. Till now, data stewards or experts produced documentation for a broader audience. Now, we are giving everyone a voice with our Data Community module. Now, in Dataedo Web Catalog, everyone can comment on, ask about, tag with waring badge and rate on any asset in the catalog - table, column, module, etc.

People in your organization can collaborate with less hustle, share their observations, and your organization can accumulate knowledge.

Editing Descriptions in Web Catalog

Now data stewards (editors) are able to edit data asset descriptions directly in the Dataedo Web Catalog so there is less need for Dataedo Desktop. This is good news for all the Mac users.

Documenting Data Lakes

Now, along the data from relational databases, you can also catalog and document semi-structured data in files - JSON, CSV and XML. All it takes is to point to the file or paste its content into editor - Dataedo will scan the structure and load it into editor where you will be able to correct it, describe it and save as a new object to the repository.

Soon, we will be also adding different file types: MS Excel and big data formats - Apache Avro, Apache Parquet, Apache ORC.

Worth mentioning

Apart from the flagship features above, we also improved the Desktop experience, based on the feedback from our users:

  1. Auto-save
  2. Highlighting selected row and fixing key columns
  3. Adding to the module automatically from the ERD

Dataedo 9.1. Release notes

Future development

Interested what's coming next? Here are some important things we are working on:

Dataedo Online Docs (Q2 2021)

Dataedo will be entering the cloud era and making it easier than ever to export and share their database documentation. Our users will soon be able to securely publish their documentation on our website and provide access to specified users.

Data Profiling (Q2 2021)

Currently, Dataedo scans only metadata of your databases - their internal data dictionaries. We are currently building something completely different - Data Profiling module that will allow you to look into the actual data int stored in the tables analyzing how many null, empty, distinct values there are in each field, what are the min, max and average values and list most popular values. This information can be saved (but does not have to be) in the repository and easily accessible in Web Catalog and Desktop, making it even easier for everyone to understand the tables and columns.

Reference Data Management / Lookups (Q2 2021)

Reference data, list of values, lookups, dictionaries, data domains. This feature will allow you to build lookups, list and valid values. It will be easy to document and understand that "A" in status field means "Approved", or what values to expect in the market field.

You will be able to build those dictionaries from values from the database with Data Profiling feature.

Data Lineage (H2 2021)

Data Lineage will allow everyone in your organization to grasp how data flows through the ecosystem. This data lineage will be defined manually on the object level.

Get it now

If you have valid Dataedo subscription, please download Dataedo 9.1 and install it in your environment.

Download Dataedo 9.1

To fully benefit from the new community features, you need at least one Enterprise license and 10 Enterprise viewer licenses. If you don't have those yet, contact sales to get a quote for your account. We upgrade your licenses on a pro-rated basis.

Haven't tried Dataedo yet? Get a free trial!

See it in action

Join our webinar next Tuesday, Mar 9, 2021 (check your local time) and see Dataedo 9.1 in action. This webinar is a must have for all Dataedo users, but will also be useful for anyone interested in building data catalogs, improving data literacy, and data-driven organizations.

Register now

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