The New data storage
The New data storage

 

 

The Active Archive Alliance launched on April 27, 2010 as a collaborative industry association formed to educate end user organizations on the evolving new technologies that enable reliable, online and efficient access to their archived data.

Our goal is to align the education and technologies needed to meet the rapidly evolving requirements for data archive. Alliance members strive to extend solutions beyond the high-end supercomputing and broadcast markets to the greater general IT audience that is in need of online data archive options.

The Problem & How We Are Solving It

As data creation, storage and access requirements continue to grow and evolve, organizations are struggling to meet internal business requirements and externally imposed regulations. No single vendor has the complete product set or resources to solve today’s data access demands. The Active Archive Alliance was formed as the data storage industry is in need of a multi-vendor effort to:

  1. Reduce the complexity of long-term data storage
  2. Provide scalable storage solutions
  3. Reduce total cost of ownership
  4. Reduce risk of non-compliance and data loss

Blog By David Cerf

Today’s storage environments are comprised of a complex mix of file and object storage, and various file  systems each with their unique behaviors. Due to the dependencies between clients and storage resources, users can find it difficult to deploy an active archive for migrating or tiering to cost effective storage. Complex file storage infrastructure can result in low utilization and limit data mobility. The continued growth in unstructured data (files & objects) is increasing the complexity, costs, and operational overhead for data management.
How metadata is changing active archives

Embedded in every file is a treasure that can be used to improve data management and power an active archive, it is metadata. Metadata may be just a simple description of a file but it has very relevant information about the data. When combined with other metadata, policy engines and artificial intelligence, metadata becomes an incredibly valuable source of hidden information that can be used to drive data lifecycle management, improve workflow and enhance applications. Most importantly, this metadata can drive an active archive architecture, using metadata as the trigger to enable data defined tiering and data protection.

Data management is now “cognitive”

Most of today’s file-based workflows have no way of discovering or making use of this information in a simple to use, automated manner. But new cognitive data management solutions with their policy engines, are designed to complement any existing storage environment and enable an automated active archive. This means any file system can now add tape and object storage easily, improving data preservation and retention, search and collaboration, resulting in evergreen storage strategies for simplified migrations and tiering.