Summary Points
- Commvault introduces Clumio for Apache Iceberg on AWS, enabling backup and restore of data lake structures to enhance recovery options and reduce manual errors.
- The solution offers long-term snapshot retention without impacting data lake performance, while also reducing backup windows and storage costs by only capturing post-initial backup changes.
- Protecting vast amounts of petabyte-scale data in data lakes is crucial for faster ransomware recovery, safeguarding sensitive information from cybercriminal targets.
- Advancing cyber resiliency relies on up-to-date disaster recovery playbooks and AI, with regular testing essential for quick, prioritized data recovery to maintain business continuity.
Key Challenge
Commvault has expanded its data protection offerings to include specialized backup and restore capabilities for Apache Iceberg table structures, a critical component of modern enterprise data lakes. The initial product, Clumio for Apache Iceberg on Amazon Web Services (AWS), aims to provide organizations with versatile recovery options—such as point-in-time, snapshot-level, cross-region, and cross-account restores—while eliminating manual, error-prone processes. This development is crucial because many organizations managing vast petabyte-scale data lakes face significant challenges in data recovery and cyber resilience, especially amidst increasing threats like ransomware attacks. By safeguarding backups in isolated environments and capturing only incremental changes, Clumio helps reduce backup windows and storage costs, enabling faster recovery during cyber crises and minimizing downtime.
The story is reported by Vidya Shankaran, Commvault’s field CTO of emerging technologies, who highlights the importance of quick data recovery for cyber resiliency. The increasing adoption of data lakes, while valuable for extracting business insights, creates a tempting target for cybercriminals due to the massive, centralized repositories of sensitive data. Proper recovery strategies and continually updated disaster recovery playbooks are essential but challenging, especially as new platforms become part of the technology landscape. Artificial intelligence is anticipated to assist in managing these complexities, but its effectiveness relies heavily on well-designed, regularly tested recovery plans. Ultimately, the story underscores the need for organizations to enhance their cyber resilience by implementing efficient backup solutions and maintaining rigorous recovery procedures to minimize downtime and protect vital data assets.
Risk Summary
Commvault’s recent addition to its data protection suite—Clumio for Apache Iceberg on AWS—addresses critical cyber risks associated with large-scale data lakes, which often contain petabytes of sensitive information targeted by cybercriminals, especially ransomware attackers. This offering enhances recovery options by enabling rapid, automated, and error-reducing restores—including point-in-time and cross-region recovery—while safeguarding backups in isolated environments and reducing storage costs by capturing only post-backup changes. As organizations increasingly rely on sprawling data lakes, their vulnerability to cyber threats escalates, emphasizing the importance of swift recovery to minimize operational downtime and data loss; delays in restoring critical data can lead to increased ransom demands and financial damage. With cyber resilience closely tied to recovery speed, firms must continuously update and test disaster recovery playbooks, leveraging AI advancements to streamline processes and prioritize essential data recovery. Effective cyber resilience, therefore, hinges on maintaining current strategies and executing timely, prioritized data restores to ensure business continuity amidst evolving threats.
Possible Remediation Steps
Ensuring swift remediation when issues arise with Commvault’s ability to recover Iceberg Data Lake tables is crucial to maintaining data integrity, minimizing downtime, and avoiding data loss, which are essential for operational resilience.
Mitigation Steps
- Regular Backups: Implement consistent backup routines for Iceberg Data Lake tables to ensure recent copies are available for recovery.
- Monitoring Systems: Set up real-time monitoring to quickly detect recovery failures or anomalies.
- Update Software: Keep Commvault and related components up to date to benefit from the latest fixes and improvements.
- Redundancy Planning: Develop and test disaster recovery plans that include alternative recovery methods for Iceberg tables.
Remediation Steps
- Identify Root Cause: Use logs and diagnostics to determine why recovery is failing or delayed.
- Restore Data: Use the most recent backup to restore the affected tables, minimizing data loss.
- Apply Fixes: Implement recommended patches or configuration changes to resolve underlying issues.
- Consult Support: Engage vendor support if internal resolution attempts are unsuccessful or if complex problems persist.
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Disclaimer: The information provided may not always be accurate or up to date. Please do your own research, as the cybersecurity landscape evolves rapidly. Intended for secondary references purposes only.
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