Storage Optimization and Life Cycle Management
Across Hybrid Cloud Infrastructure
The ever-expanding data deluge across hybrid cloud environments presents a daunting challenge: storage optimization and lifecycle management (LCM). Unmanaged data sprawl leads to wasted resources, skyrocketing storage costs, and compliance nightmares. Zubin tackles these issues head-on, empowering organizations to streamline storage, automate data governance, and gain valuable insights. Zubin, Data Dynamics’ AI-powered self-service data management software, is strategically aligned with industry trends to help you navigate the complexities of hybrid cloud storage management. It empowers you to harness the power of your data while keeping storage costs and security risks under control.
1Automated Data Classification and Policy-Driven Storage Tiering
Automated Data Classification and Policy-Driven Storage Tiering
Unclassified data makes it difficult to identify and store critical information efficiently. Manual data classification is time-consuming and error-prone. Additionally, organizations often lack a unified storage strategy across on-premises and cloud environments, leading to underutilized resources and wasted storage costs.
Cost Optimization & Data Governance with Zubin
Zubin automates data classification based on type, sensitivity, and access frequency. Intelligent storage tiering optimizes storage costs by placing frequently accessed data on high-performance storage and archiving less used data to cost-effective tiers. This ensures sensitive data is stored securely while maximizing resource utilization.
2Data Redundancy Elimination and Archival for Improved Efficiency
Data Redundancy Elimination and Archival for Improved Efficiency
Data sprawl leads to redundant, obsolete, and trivial (ROT) data consuming valuable storage space. Manual identification and deletion of redundant data is cumbersome and error-prone. Traditional archiving processes can be complex and hinder data accessibility.
Storage Efficiency & Data Accessibility with Zubin
Zubin’s advanced algorithms detect and eliminate duplicate data, reclaiming valuable storage space for critical information. To preserve data for compliance or historical purposes, Zubin offers intelligent archival, converting data into efficient formats while maintaining accessibility. This holistic approach to data management optimizes storage infrastructure, improves performance, and ensures data availability when needed.
3Automated Data Lifecycle Management with Retention Compliance
Automated Data Lifecycle Management with Retention Compliance
Manually managing data retention policies across hybrid cloud environments is complex and error-prone. Non-compliance with data retention regulations can lead to hefty fines.
Risk Mitigation & Regulatory Compliance with Zubin
Zubin’s automated lifecycle management simplifies this complexity by enforcing retention policies and executing actions based on data age and classification. By automating tasks like deletion, archiving, and migration, Zubin reduces the risk of non-compliance and frees up IT resources for strategic initiatives. This proactive approach to data management ensures data integrity, availability, and legal compliance.
4Self-Service Data Classification and Migration for Democratized Data Management
Self-Service Data Classification and Migration for Democratized Data Management
Complex data management processes and limited visibility into data storage locations can hinder business users from effectively managing their data. This can lead to data silos and hinder collaboration efforts.
Improved Data Governance & Collaboration with Zubin
Zubin’s data classification and self-service migration enable users to classify and migrate data without IT involvement. This fosters data ownership, improves collaboration, and accelerates time-to-value for data-driven initiatives. By breaking down data silos and democratizing data access, organizations can harness the full potential of their data assets.
5Data Usage & Traceability with Risk Insights for Enhanced Security
Data Usage & Traceability with Risk Insights for Enhanced Security
Lack of visibility into data usage across hybrid cloud environments makes it difficult to identify and mitigate security risks. Unclear data ownership can lead to confusion about access control responsibilities.
Data Security & Breach Prevention with Zubin
Zubin’s data usage tracking and risk insights provide a holistic view of data movement and potential vulnerabilities. By combining these capabilities with granular access controls, organizations can proactively identify and mitigate risks, protect sensitive data, and ensure compliance with regulatory mandates.
6Data Observability & Root Cause Analysis for Performance Optimization
Data Observability & Root Cause Analysis for Performance Optimization
Performance bottlenecks and data quality issues can hinder critical applications and analytics across hybrid cloud environments. Identifying the root cause of these issues can be time-consuming and complex.
Improved Data Quality & Efficiency with Zubin
Zubin’s data observability capabilities continuously monitor data pipelines, detecting anomalies and performance bottlenecks. Advanced root cause analysis pinpoints the underlying issues, enabling swift remediation. By ensuring data quality and optimal performance, organizations can make confident decisions, drive innovation, and maximize the value of their data assets.
A Closer Look at What Makes Us Stand Out
Features
Enterprise Risk Posture and Infra Usage Business Intelligence and Reporting
Executive dashboards and reports providing risk and data usage analysis across the enterprise, business units, LOBs, and geographies, complemented by action plans and real-time status updates.
Data Risk and Usage Reporting and Actionability by Team and Data Ownership
Metadata Analytics
Content Analytics
Data Classification
Statistical Sampling
Risk Exposure Insights
Data Containment and Isolation
Quarantining of high-risk sensitive data in secure storage, such as file shares on storage resources or object storage buckets, enhancing data security (lock).
Access Control and File Re-permissioning
Data Policy Creation and Workflow
Personalized data workflows
based on corporate governance
and compliance policies.
Data Sharing
Cloud Integrated Risk Controls
Retention Compliance
Data Redundancy
Self-Service Data Classifications and Migrations
Policy-driven automated data movement, including migration, replication, transform & sync, and archiving across various softwares, both on-premises and in the cloud - SMB, NFS, AWS S3 and OneDrive (File to File, File to Object, Object to Object).
Data Archival
File preservation by converting files into object format by archiving while enabling efficient retrieval via software or RESTful API, audit, and legal discovery, and allowing S3/NFS/SMB-compliant access for compatibility and ease of use.
Data Transformation
Facilitates archival, retrieval, and bidirectional conversion (file to object and object to file) with data quarantine capabilities (transform related).
Data Tiering and Placement
Your Data, Your Rules.
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Zubin in Action
Use cases
Visibility Into Existing Unstructured Data Footprint Across All Data Constituents
Risk Identification of Data Exposure With Actionable Resolution
Privacy Management With Intelligent Data Classification for AI Models
Ensuring Data
Sovereignty Across
Global Data Footprint
Data Owner
Empowerment To View
and Act On Their Data
Storage Optimization
and LCM Across Hybrid
Cloud Infrastructure
Self-Service
Data Classifications
and Migrations
Policy-Based Transfer
of Data Ownership To
Avoid ‘Orphan’ Data
Data Dynamics in the Spotlight
News, events, and articles
Your Guide to What’s Next
Insights, Strategies, and Trends to Keep You in the Know
Does Data Localization Alone Guarantee Privacy and Security in a Globalized World?
A Conversation with Piyush Mehta, CEO, Data Dynamics, on Enterprise Data Management and Data Sovereignty
David Reilly: Unlocking the Value of Unstructured Data with Data Dynamics’ Zubin
Empowering data control and democratization in the age of AI
Value, Risk and Potential – a Modern Approach to Managing Data
Does Data Localization Alone Guarantee Privacy and Security in a Globalized World?
A Conversation with Piyush Mehta, CEO, Data Dynamics, on Enterprise Data Management and Data Sovereignty
David Reilly: Unlocking the Value of Unstructured Data with Data Dynamics’ Zubin
Empowering data control and democratization in the age of AI
Value, Risk and Potential – a Modern Approach to Managing Data
Do More with Zubin
Related Capabilities
Your Guide to What’s Next
Insights, Strategies, and Trends to Keep You in the Know