Cazena Launches New Release of Big Data as a Service with Advanced Security, DevOps Automation

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According to a recent press release, “Cazena announced it has been awarded a U.S. patent for “Intelligent Analytic Cloud Provisioning,” providing a framework to iteratively provision cloud resources to achieve optimal cost for performance for analytic workloads. This ensures that enterprises get the best performance for any workload and helps manage costs. The company also announced several industry-first capabilities that are now available in the latest release of its Big Data as a Service. Cazena offers the only Managed SaaS solution for analytic workloads that provides turnkey simplicity and instant production capabilities. End-to-end security and automated DevOps are built into the Cazena offering. Alternative solutions like PaaS have been too complex, requiring organizations to hire and reskill DevOps. Third-party consulting and managed service providers are expensive and slow, often solving problems manually with people and services.”

The release adds, “The latest Cazena release offers several advanced security capabilities, including: (1) End-to-end Automated Encryption: End-to-end TLS encryption capabilities based on firewall and gateway architecture to ensure that cloud-based data lakes and data science sandboxes are encrypted from data sources to tools and end users. (2) Built-in Security Operations: Including ongoing data and user-level logging, SIEM alerting, vulnerability management, and threat monitoring at infrastructure and data level. (3) Firewall-Based Data and User Access: Zero-Trust security architecture that verifies users, devices, application, or packets. This environment ensures that users accessing data have a legitimate business need. To access data, all traffic must flow through firewalls which segment each customer into security zones. Security zones allow Cazena’s Security Operations to isolate traffic and apply protection profiles based on each enterprise’s unique requirements.”

Read more here.

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