Improve Governance

Companies today are facing stricter and more precise regulatory requirements for the retention and protection of their corporate datasets.

Data management in most organizations is largely governed by the individuals responsible for the micro-management of servers and storage systems within the distributed network.

Corporate data management policies can be implemented on paper, but the ability to deploy policies onto the network is a different matter entirely.

Moonwalk™ delivers an intelligent and high performance software solution for deploying those corporate data management policies through heterogeneous environments.

The propagation of centrally-managed business rules throughout the Network enables corporations to determine a single set of policies for data governance – and be certain these policies will be enforced right to the edge of the network.

Moonwalk™ is network-aware, enabling data management by project, location, user, group, size, name, time and customer defined attributes…making complex datasets easier to express in simple data management policies.

Moonwalk™ also offers users the opportunity to enrich their data storage environments and to reduce their overall expenditure on storage by the allocation of data storage budgets to coincide with the intrinsic value of specific data sets and the technology most appropriate for the task.

Historically, heterogeneous networks have been limited in their ability to capitalize on the evolution of data migration, HSM and other data management paradigms.

 The management of such infrastructure requires the correct balance of software, hardware and data governance policies to enable the intelligent and proactive migration of data between storage tiers.

Moonwalk™ automates and intelligently manages the migration of data from file systems to additional tiers within the corporate storage infrastructure. By enabling the enterprise to migrate data from file system-captive primary storage volumes to secondary tiers and beyond, Moonwalk™ helps reduce the total cost of ownership of data governance while ensuring it remains safe and immediately accessible.

As an Enterprise Data Management system Moonwalk™ is designed for complete interoperability with Novell Netware, Windows, UNIX and Linux. It serves as a single tool to proactively, rather than reactively, manage the migration, copying and movement of data throughout the Enterprise.

By combining centralized configuration with distributed execution, Moonwalk™ avoids network congestion and computing resource consumption. Moonwalk™ enables file system data to be migrated transparently from primary storage to other file systems such as NFS thus increasing the viable secondary storage options available. Such options include products from Veritas, SUN, EMC, NetApp and many others.

 KEY FEATURES

A single tool that manages the movement of data between primary Netware Volumes and other file systems, Moonwalk™:

• Automates the process of proactively migrating, moving or copying files to additional file systems
• Supports flexible rules that permit users to create policies that determine which files will be migrated, moved or copied
• Provides a single point from which the policies can be determined and propagated across the network
• Implements a distributed execution of rules and policies
• Runs on a variety of operating system platforms
• Requires a very small footprint in the operating environments
• Allows simulations to predict the impact of migration, to help administrators fine tune data management rules for optimum
• results and disk space savings, and to confirm that the policy will work as intended
• Provides a web interface for easy configuration

 BENEFITS

Moonwalk™ assists in gaining control of data within the organization and optimizing storage infrastructure. Benefits include:

• Centralized control of data across the enterprise
• Ability to implement discrete data governance policies that reflect and  deliver the regulatory requirements affecting those data
• Ability to dynamically respond to issues relating to the governance of data
• Scheduling control to balance the movement of data with operational demands of critical resources across the network
• Ability to test rules and assumptions to determine optimum benefits the organization
• Significant savings in the ability to “re-use rules” from the library in the development of new policies
• Reduced system administrator workload
• Ability to assign data storage budgets to reflect the value of specific data sets
• Expanded scope for choosing operating platforms and storage technology
• Reduction in overall data storage costs