We’re excited to announce three new collectors: Azure Data Factory (ADF), DynamoDB, and Teradata. These collectors gather metadata from these systems and seamlessly bring it into our data.world platform. This metadata helps both technical and non-technical users with discovering and understanding their data quickly, governing their data with greater context, and increasing trust in data by providing information about data health and transformations. 

Azure Data Factory Collector: Detailed Data Tracking

The ADF Collector allows users to understand how your data was moved or transformed, the format changes it underwent, and its migration journey to build a foundation of trust. This collector fetches metadata for Factory, Pipeline, Activity, Linked Service, Dataset, Dataflow, Trigger, Integration Runtime, and Global Parameter within Azure Data Factory. It also provides column-level Lineage, showing how data moves between ADF Datasets and connected sources like Snowflake, Databricks, S3, and ADLS. This helps users understand data movements and transformations, increasing trust. It also allows monitoring of pipelines for health checks, boosting confidence in data integrity and reliability.

DynamoDB Collector: Simplified Discovery

Our DynamoDB Collector helps users discover and understand DynamoDB resources. This collector captures deep metadata for Tables and Streams. It’s useful for both technical users managing DynamoDB resources and non-technical users exploring metadata and understanding how they can use DynamoDB resources through an intuitive interface. Technical users will appreciate getting insight into DynamoDB resources, including Tables, Keys, Indexes, and more. 

Teradata Collector: Comprehensive Data Insight

The Teradata Collector allows users to see a holistic view of all their Teradata assets to help them manage and discover their data. This collector covers metadata for Database, Table, SQL Procedures, User Defined Functions, View, External Procedures, Triggers, User Defined Methods, and User Defined Types. It also offers Profiling and Lineage, showcasing column-level lineage between views and sourced columns, plus lineage for stored procedures. Users can track ownership and freshness of Databases and Tables, which helps understand data quality. Users can also see metadata about how the data was queried via SQL procedures, user defined functions and methods, and triggers, boosting trust in data products.

Start Exploring Today

These collectors enhance how data users explore, discover, understand, and trust their data. Whether you're a tech pro or not, these tools make navigating metadata easier and help teams become more data-driven. Dive into your data world with these new collectors, and embark on a journey of empowered decision-making.

Happy exploring, The data.world Team