Teradata data lineage tool
Teradata is a fully scalable relational database management system produced by Teradata Corp. It is widely used to manage large data warehousing operations
Gudu SQLFlow can connect to the Teradata Database via its own connection. It can automate metadata discovery to deliver a complete, detailed overview of data flows in the Teradata Database. Using this information, Gudu SQLFlow creates a detailed graph of the data lineage in JSON format that can be pushed into any third-party metadata management solution or viewed in Gudu SQLFlow’s native visualization.
When planning migrations, implementing DataOps, or preparing for a compliance audit, Gudu SQLFlow can help teams extract more value from their Teradata Database database.
Gudu SQLFlow currently scans the Teradata database
- SQL scripts
- View
- Stored procedures
- Data dictionaries
- Functions
- Macro
- BTEQ scripts
Discover data lineage in the Teradata database in 3 minutes
What data lineage is important?
Data lineage is broadly understood as the lifecycle that spans the data’s origin, and where it moves over time across the data estate. It is used for different kinds of backward-looking scenarios such as troubleshooting, tracing root causes in data pipelines, and debugging. Lineage is also used for data quality analysis, compliance, and “what if” scenarios often referred to as impact analysis. Lineage is represented visually to show data moving from source to destination including how the data was transformed. Given the complexity of most enterprise data environments, these views can be hard to understand without doing some consolidation or masking of peripheral data points.
Why choose Gudu SQLFlow?
Gudu SQLFlow automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud, and Hadoop environments by parsing SQL Script and stored procedure. Depict all the data movement graphically.
It supports more than 20 major database types and still growing, including AWS Athena, Google BigQuery, Couchbase, Dax, DB2, Greenplum, SAP Hana, Hive, Impala, Informix, MDX, MySQL, Netezza, odbc, OpenEdge, Oracle, PostgreSQL, presto, AWS Redshift, Snowflake, Spark SQL, SQL server, Sybase, Teradata, HP Vertica.