Dark data. Sounds a bit sinister, doesn’t it? Let’s unravel the mystery of dark data and talk about the complex issues that must be considered and the ramifications of storing or not storing that data for businesses and organizations.
What is Dark Data and Should You Bother to Store It?
Wikipedia defines dark data as data “acquired through various computer network operations but not used in any manner to derive insights or for decision making.”
The volume and rate of collecting data can easily exceed the capability of most organizations to properly tag, store and analyse that data. Not surprisingly, given how difficult it can be to identify the wheat from the chaff, it has become a common practice to store all the data that is generated.
With over 2.5 quintillion bytes of data created every single day, and an estimated 1.7MB of data created every second for every person on earth by the next year, this becomes an increasingly pressing issue for storage architects and IT departments.
Storing all that data creates everything from compliance issues to overburdened storage systems and also raises the possibility of ransomware threats, but deleting it has the potential to cause even more problems. What if you accidentally delete something you need or that might prove to be invaluable later on?
So, most organizations continue to add more storage as they accrue data, and much of that data is unstructured data.
What is Unstructured Data?
You could say that enabling organizations to cost-effectively store unstructured data is our business. After all, we’ve been doing that since our first product release in 2006.
Unstructured data is quite abundant in today’s IT landscape. It can be just about anything, from music recordings to medical imaging to video footage. The defining characteristic of unstructured data is that it is not stored in a structured, predefined format. That makes it challenging not just to store, but also to manage.
How do you Store and Manage Unstructured Data?
Over the years, the Caringo team has helped numerous customers store, organize and access massive amounts of unstructured data with our Swarm Object Storage Software. Check out our case studies for detail about how we helped organizations like the STFC Scientific Computing Department, Texas Tech University and NEP in the Netherlands.When you tier data into Swarm object-based data storage, you benefit from continuous built-in data protection, management, organization and search at massive scale. As the pioneer in object storage technology, Caringo products have some distinct differences in methodology that give our customers a significant advantage. While we cannot cover them all in just one blog, part of the Swarm difference revolves around our integration of Elasticsearch and how we store and use metadata (a.k.a., data about the data).
To learn more, watch our Tech Tuesday webinar about using metadata with object storage on demand or read the summary that follows the webinar.
How Does Caringo Use Metadata & Elasticsearch to Illuminate Dark Data?
Metadata and Elasticsearch are the key to making data easy to find in Swarm Object Storage. This is a topic we have addressed in a number of blogs and webinars, including our most recent Tech Tuesday webinar (using elasticsearch with object storage).
Using Swarm’s extensive custom metadata capabilities and Elasticsearch simplifies the task of locating discrete types of data in a large data store. It gives you dynamic organization of content with classification, key words, descriptive content and multiple methods to track content with no separate big data project required.
Once you have data in a Swarm Object Storage cluster, the content of it and the value of it are illuminated, so you can reap insights and potentially realize new ways to monetize your data.
Get a Custom Demo or Ask our Experts
If you have questions or would like to request a customized demo to explore the use of Swarm Object Storage for your business or organization, contact us. We are ready to help!