AI, Data & Intelligence
Metadata Management
Centralized metadata indexing, business glossaries, technical metadata extraction and automated data discovery platforms.
Capability overview
What metadata management involves
Metadata management provides clear context, definitions and technical documentation for all enterprise data assets. We implement metadata management architectures that index technical schemas, business definitions and data transformation rules.
We deploy automated data catalogs (Microsoft Purview, OpenMetadata, Amundsen) that extract metadata from databases, ETL pipelines and BI dashboards.
Our metadata solutions enable business analysts and data engineers to quickly discover, understand and trust enterprise data assets.
During the metadata management engagement, our specialists work closely with your technical leads to establish tailored operational workflows, automated validation controls and clear deliverables for enterprise business glossary and technical metadata extraction. From initial metadata audit & requirements through to business glossary authoring, we embed continuous telemetry monitoring, structured documentation and risk mitigation rules tailored specifically for your organization's metadata management goals and open-source data catalog setup requirements.
We provide dedicated engineering oversight, automated telemetry tracking and structured technical handovers for enterprise business glossary and technical metadata extraction, ensuring long-term operational resilience.
What is included
What the engagement covers
Enterprise Business Glossary
Authoring standardized business term definitions, calculation formulas and acronym dictionaries.
Technical Metadata Extraction
Automating metadata extraction from databases, data warehouses, dbt models and BI reports.
Open-Source Data Catalog Setup
Deploying OpenMetadata, Amundsen or DataHub data catalog portals for self-service data discovery.
Tagging & Data Classification
Automating sensitivity tagging (PII, Financial, Confidential) across schema tables and columns.
How we work
How we deliver metadata management
Metadata Audit & Requirements
Evaluating existing data documentation, tribal knowledge gaps and metadata tool requirements.
Business Glossary Authoring
Facilitating cross-departmental workshops to agree on canonical business definitions and formula metrics.
Catalog Platform Setup
Installing and configuring data catalog software with automated connectors to enterprise databases.
Automated Crawler Integration
Scheduling automated metadata crawlers to scan database schemas, dbt models and BI dashboards nightly.
User Training & Adoption
Training analysts and developers on searching the catalog, documenting data models and tracing data context.
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Data Architecture
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Data Engineering
Engineering reliable data pipelines, automated data transformation workflows and enterprise data platform integrations.
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Questions & answers
Questions about Metadata Management
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionTechnical metadata (schemas, column types), Business metadata (definitions, formulas, owners) and Operational metadata (execution times, row counts).
Metadata management is delivered as a fixed-fee setup project or as part of ongoing enterprise data governance retainers.
A business glossary ensures all departments calculate metrics (e.g., 'Active Customer', 'MRR') using identical mathematical definitions.
Next step
Discuss metadata management with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.