Meshynix Metadata Accelerator
A metadata-driven framework for automating metadata management in your Databricks Lakehouse. It streamlines tagging, metadata enrichment and object creation while ensuring compliance with data governance policies—minimizing operational overhead and maximizing efficiency.
Metadata Accelerator: Works for all Industries
Metadata management is essential for organizations across all industries. The Metadata Framework automates and streamlines metadata tasks, ensuring data governance, compliance, and operational efficiency and can be tailored to unique requirements for each industry.
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Banking & Financial Services
• Automate customer data tagging for regulatory compliance (e.g., GDPR).
• Maintain consistent metadata across banking systems for accurate reporting.
• Streamline metadata updates to reduce manual effort.
• Enhance governance for secure financial analytics.
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Healthcare & Hospitals
• Automate patient data tagging for privacy compliance (e.g., HIPAA).
• Ensure consistent metadata across systems for accurate patient records.
• Streamline metadata updates to reduce errors in clinical data management.
• Enhance data lineage for audit trails in healthcare analytics.
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Retail & E-Commerce
• Automate product metadata tagging for personalized marketing.
• Maintain consistent metadata across omnichannel platforms.
• Streamline inventory metadata to optimize supply chain operations.
• Enhance governance for consumer data protection compliance.
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Life Sciences
• Automate metadata tagging for clinical trial data compliance.
• Unify metadata across R&D systems for consistent insights
• Streamline metadata for faster drug development pipelines.
• Enhance data lineage for traceability in manufacturing.
Cut Down 100s of Hours in Data Engineering
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Automation
Automates metadata-related tasks, reducing the need for manual updates and improves operational excellence.
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Data Governance
The framework serves as a crucial enabler for implementing data governance policies and regulatory compliance, particularly in data security, attribute based access control and data privacy.
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Customizability
Users can modify the framework to fit organizational requirements, ensuring flexibility.
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Single Source of Truth
The Metadata App consolidates metadata information, making it easier to manage and monitor.
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Excel-Based Interface
Leverages Excel files, which are familiar to business owners, data governance analysts for defining metadata, enhancing accessibility.
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Historical Tracking
Implements SCD Type 2 tables to maintain historical versions of metadata, aiding in recovery and audit trails.
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Security
Incorporates best practices, including a dedicated permissions group and a secrets scope for secure operations. The accelerator package is installed from Databricks Marketplace into Workspace. No additional infrastructure required.
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No-Code Deployments
Post successful installation from Databricks Marketplace, the framework does not require any recurring code deployment to maintain and update metadata in unity catalog.
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Safe and Meaningful AI Solution
The framework ensures robust metadata hygiene at sub-atomic level, which is essential for developing effective, meaningful and secure AI solutions.
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Dynamic masking
Helps with Secure, real-time access to sensitive data (PII, transaction records) directly within Databricks, without impacting analytics.
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Automated compliance
Streamlined adherence GDPR, HIPAA, CCPA etc. reducing manual overhead and audit friction.
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Granular access control
Secure collaboration across teams, ensuring data is used appropriately within your Databricks workflows and helps prevent unauthorized access to sensitive data
