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Data Observability
Data Contracts
Data Catalog
Data Governance
Leverage our advanced ML-powered anomaly detection model and streamlined incident management system to ensure data quality and reliability.
Foresee and Prevent: Mitigate potential data issues before they escalate.
Real-Time Response: Stay ahead of the curve with instant alerts.
Access Downstream Impact: Gauge the potential downstream impact of anomalies on data assets.
Ensure consistent data quality and reliability with our engineer-centric solutions.
Our solution offers seamless integration with diverse data sources for effortless data onboarding and a flexible data configuration module.
No-Code Configuration: Simplify test setup for critical data quality metrics, including volume, null values, and duplicates - no coding required.
Custom SQL Testing: Formulate custom tests using SQL queries to address specific business requirements.
Monitor your data pipelines with our versatile and user-friendly features, designed to guarantee data quality and accuracy across diverse data environments.
Our tech-focused feature allows you to constitute strong data contracts for seamless collaboration and trust between data producers and consumers. Key advantages include:
Promote data integrity and reliability: Enforce adherence to predefined data quality standards.
Cultivate collaboration and transparency: Clearly define data obligations and expectations for all parties involved.
Streamline data management: Administer a robust framework that supports data governance and reliability.
With Data Contracts, data producers can ensure that the data meets the required standards.
Extensive monitoring features to ensure your data pipelines operate efficiently and reliably:
Realtime Visibility: Stay informed on ETL job progress with the latest status updates in the Asset Details Overview, enabling swift response to potential anomalies.
Seamless Integration: Connect with popular communication platforms such as MS Teams or Slack for instant failure alerts.
Maintain high-performing data pipelines that ensure uninterrupted data flow and timely delivery of critical insights.
AI-powered assistant integrated into the Decube Platform to help you work more efficiently through:
Personalized assistance: Receive custom support and guidance for efficient data handling and data interpretation.
Intelligent metadata curation: Automatically organize and manage metadata to improve data discovery.
Advanced Text2SQL feature: Modify natural language into SQL codes to simplify data retrieval.
Automated data quality suggestions: Capitalize on Auto-Suggest DQ to proactively address data quality issues.
Work smarter with Decube CoPilot in streamlining your data management workflow.
Gain comprehensive pipeline visibility through our Column-Level Lineage mapping by:
End-to-end Transparency: Track data flow from source to target.
Efficient Root-cause Analysis: Facilitate timely resolution by swiftly pinpointing the source of data issues and their downstream impact.
Utilizing column-level lineage can maintain high data accuracy, reliability, and trust.
Automate Data Governance through Policy Management:
Automated Policy Management: Simplify data asset tagging and classification through a policy-driven approach to guarantee data consistency and accuracy.
Confidentiality Protection: Safeguard sensitive information by applying rules to mask specific keywords, such as addresses, ensuring data privacy and compliance.
Custom Data Classification: Tag or classify assets according to your organization's specific requirements, such as GDPR, PII, Sensitive, Internal, Restricted, and more.
Efficiently manage and protect your critical data assets while maintaining regulatory compliance and data privacy.
Leverage our advanced ML-powered anomaly detection model and streamlined incident management system to ensure data quality and reliability.
Foresee and Prevent: Mitigate potential data issues before they escalate.
Real-Time Response: Stay ahead of the curve with instant alerts.
Access Downstream Impact: Gauge the potential downstream impact of anomalies on data assets.
Ensure consistent data quality and reliability with our engineer-centric solutions.
Our solution offers seamless integration with diverse data sources for effortless data onboarding and a flexible data configuration module.
No-Code Configuration: Simplify test setup for critical data quality metrics, including volume, null values, and duplicates - no coding required.
Custom SQL Testing: Formulate custom tests using SQL queries to address specific business requirements.
Monitor your data pipelines with our versatile and user-friendly features, designed to guarantee data quality and accuracy across diverse data environments.
Our tech-focused feature allows you to constitute strong data contracts for seamless collaboration and trust between data producers and consumers. Key advantages include:
Promote data integrity and reliability: Enforce adherence to predefined data quality standards.
Cultivate collaboration and transparency: Clearly define data obligations and expectations for all parties involved.
Streamline data management: Administer a robust framework that supports data governance and reliability.
With Data Contracts, data producers can ensure that the data meets the required standards.
Extensive monitoring features to ensure your data pipelines operate efficiently and reliably:
Realtime Visibility: Stay informed on ETL job progress with the latest status updates in the Asset Details Overview, enabling swift response to potential anomalies.
Seamless Integration: Connect with popular communication platforms such as MS Teams or Slack for instant failure alerts.
Maintain high-performing data pipelines that ensure uninterrupted data flow and timely delivery of critical insights.
AI-powered assistant integrated into the Decube Platform to help you work more efficiently through:
Personalized assistance: Receive custom support and guidance for efficient data handling and data interpretation.
Intelligent metadata curation: Automatically organize and manage metadata to improve data discovery.
Advanced Text2SQL feature: Modify natural language into SQL codes to simplify data retrieval.
Automated data quality suggestions: Capitalize on Auto-Suggest DQ to proactively address data quality issues.
Work smarter with Decube CoPilot in streamlining your data management workflow.
Gain comprehensive pipeline visibility through our Column-Level Lineage mapping by:
End-to-end Transparency: Track data flow from source to target.
Efficient Root-cause Analysis: Facilitate timely resolution by swiftly pinpointing the source of data issues and their downstream impact.
Utilizing column-level lineage can maintain high data accuracy, reliability, and trust.
Automate Data Governance through Policy Management:
Automated Policy Management: Simplify data asset tagging and classification through a policy-driven approach to guarantee data consistency and accuracy.
Confidentiality Protection: Safeguard sensitive information by applying rules to mask specific keywords, such as addresses, ensuring data privacy and compliance.
Custom Data Classification: Tag or classify assets according to your organization's specific requirements, such as GDPR, PII, Sensitive, Internal, Restricted, and more.
Efficiently manage and protect your critical data assets while maintaining regulatory compliance and data privacy.
A mark of data integrity, crucial for compliance, decision-making, and operational insights.
Safeguarding your information with industry-leading standards.
Ensuring your information is protected with the highest level of integrity.
Ensuring the confidentiality and integrity of your healthcare data.
Protecting personal data with robust privacy and security measures.
Your data is encrypted in motion with TLS and at rest with AES-256.
Spend less time fire-fighting data incidents and build trust with internal stakeholders from reliable data.
Get complete visibility and understanding of data going into AI/ML models to develop accurate models for real business impact.
Discover quickly the data you need to make informed decisions and break down data silos between teams.
and many more...
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