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DS DataMaps

Map, trace, and analyze your data end to end with automated lineage and metadata discovery.

Source
Lineage

DS DataMaps is a discovery and mapping tool that provides businesses with deep insights into their data landscape.

It enables heterogeneous metadata extraction, approach to ontology & transformation, and job-level data lineage, ensuring complete transparency and control over data movement and dependencies.

DS DataMaps Reverse Engineering

01

Heterogeneous Extraction

Extract ETL, Scripts and workflow level metadata

02

Job Level Lineage

Detailed Job Level Entity, Attribute and Transformation Lineage

03

End to End Traceability

Unified and Integrated metadata traceability from target to source

Structured Mapping Output

Similar to how Google Maps works for geographic locations, DS DataMapsgives you a comprehensive view of how data moves through your systems—from source to consumption.

Automatically extracts metadata from diverse data sources.

Provides a comprehensive lineage view for better traceability.

Ensures compliance and governance with complete data transparency.

Visualizes how data elements are connected and transformed.

Tracks business rules and transformations applied to data.

Identifies impacts of changes across your data ecosystem.

Frequently Asked Questions

DS DataMaps is an advanced metadata discovery, mapping, and data landscape analysis solution. It gives enterprises complete transparency and control over their data ecosystem by automating metadata discovery and end-to-end lineage visualization from source systems straight through to consumption.
The DS DataMaps reverse engineering framework operates across a three-step sequential pipeline: 01. Heterogeneous Extraction, 02. Job Level Lineage tracking, and 03. End to End Traceability. This automated analysis compiles disparate data parameters into a single, unified Structured Mapping Output.
DS DataMaps utilizes an automated heterogeneous metadata extraction process. This allows the system to smoothly ingest unstructured, structured, or multi-vendor metadata schemas, mapping them against unified business ontologies and data transformations without requiring manual schema definitions.
By executing deep automated extraction at the job level, DS DataMaps builds a comprehensive, interactive lineage view. This granular visibility traces exactly how data moves, branches, and changes across complex dependencies throughout its entire operational lifecycle.
The platform ensures strict compliance and data governance by delivering 100% data transparency. It systematically registers, captures, and tracks the exact business rules and structural transformations applied to data elements as they traverse the corporate environment.
Yes. By visualizing how data elements are connected and transformed, DS DataMaps allows engineering teams to accurately analyze and identify the downstream impacts of schema or pipeline changes across the entire data ecosystem before deployment.

Proof of Impact

Real results with DS DataMaps

Explore how enterprises have leveraged DS DataMaps to accelerate their data modernization journey.

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