Subscribe Here!

Archive 101: What is It, Why is It So Important, and How Do You Archive Effectively?

by Christian Smith – April 3, 2018

As data grows, archiving data has become more important than ever for a robust data management strategy. Yet, effective archive remains elusive for many organizations. Even defining what “archive” means can be difficult because archive commonly refers to backup archives or e-mail archives, not unstructured data management.

So what do we mean by archive, and why is it so important?

What is Archive?

Archiving involves moving data that is no longer frequently accessed off primary systems for long-term retention. Unlike data on primary storage, which needs to be frequently accessed and modified, archived data is retained for long periods of time, and best searched for when needed.

These different use cases of archived data are an opportunity for a solution designed for capacity rather than a primary storage solution designed for performance. Archive solutions are high capacity and resilient, with robust catalogs to allow for easy search and retrieval.

Why is Archiving So Important?

Archiving the right data can not only save your business money, but also add value to your business. Many organizations are hesitant to archive because they are uncertain which data to archive or afraid to archive data that should be left on primary storage.

However, not implementing an effective archive strategy is a missed opportunity, and deciding which data to archive should be a high priority for businesses with massive amounts of unstructured file data. Organizations without an archiving strategy may end up losing inactive data that is actually still valuable, and this is especially costly when recreating data is more expensive than archiving it.

For example, many life sciences organizations do not have an effective archive strategy, or any archive strategy at all, in place. This means that valuable data from old studies is irretrievable or lost, and the cost of recreating that data is immense.

With an effective archive strategy, organizations would be able to easily search for and access old data that continues to add value to the business over time.

Another main benefit of archiving is that organizations can save on expensive primary storage while retaining data important to the business, whether it may need to be accessed in the future or needs to be retained for regulatory compliance.

Archiving also reduces the volume of data on primary storage that needs to be backed up. This improves backup and restore performance while lowering secondary storage costs.

As enterprise datasets explode, freeing up space on primary storage is immensely valuable for constraining costs and datacenter footprint. In addition, archives with search and retrieval capabilities make it much easier to find and access data when it does need to be used.

What Does Effective Archive Look Like?

For modern enterprise data sets comprised of billions of files and petabytes of data, an archive solution must have the following capabilities:

  • Policy-driven workflows surface archive-ready data. Once data ready for archive is identified, administrators can set policies to automatically snapshot, move, verify, and re-export data, streamlining data management.
  • Efficient data movement is needed to move high volumes of data from primary storage to archive and vice versa for fast restore.
  • Search to restore allows administrators to quickly locate and retrieve any file, directory, or system, as well as any past versions.
  • Insights and learning help organizations learn from their data. Some of these insights include user access patterns and activity logging so administrators know how much the historical data is really utilized. Effective archive solutions enable analysis, with the ability to perform compliance analysisall without impacting primary workloads.
  • Internal data protection so that archived data does not need to be separately backed up.
  • Ability to manage access separately from primary storage access permissions.

If you would like more information on our modern archive solution, please contact us!

Contact us

Related Content

Three Benefits of Backup-as-a-Service (BaaS) for Managing Unstructured Data

March 27, 2019

Ah, managing backups: A necessary, but notoriously tedious task that most IT administrators would happily hand off to someone, anyone else. In today’s increasingly automated and machine-driven age, that someone else could

read more

PAIGE and Igneous Build Industry-Leading Compute Cluster for Healthcare AI

January 16, 2019

PAIGE’s mission to revolutionize the diagnosis and treatment of cancer through machine learning requires an extremely large dataset of high resolution slide images. To do so, they are building an industry-leading compute cluster for healthcare AI. The team needed to not only protect all of this unstructured data, but also programmatically move and process small subsets of the overall dataset on demand for high performance computations.

read more

Accelerating Image Analysis and Cancer Diagnosis with AIRI from Pure Storage and Igneous

November 28, 2018

Artificial Intelligence (AI) has various applications today, from self-driving vehicles to optimizing workflows in manufacturing operations to detecting malware on the internet. Deep learning is a form of AI where multi-layer neural networks are utilized to transform input data into progressively more defined and useful outputs. Deep learning differs from machine learning (ML) in that ML focuses on the development of task-specific algorithms that can be applied to specific problems, while deep learning focuses on extracting information at multiple levels.

read more