Have you ever bothered to keep track of the myriad ways you make use of data within a single day? How many activities, messages, correspondences, calories, tasks, records, projects and more do you access to and save every day via data storage? Odds are, once you begin counting, you’ll be unable to stop.
Most people never stop and think about the implications, but data is increasing at an exponential rate − and won’t be stopping anytime soon.
As a reaction to this flood of data, recent years have seen machine learning and artificial intelligence (AI) become significant subjects for research and development, attempting to deal with the data by creating algorithms that seek out patterns. For now, however, options for data storage that are more realistic sound a little less like science fiction. Let’s examine four feasible solutions to the storage capacity predicament.
1. Hybrid storage
While we all comprehend the idea of the cloud, storage with a hybrid cloud is somewhat different since it makes use of a combination of onsite hardware and cloud storage. This arrangement produces more value which, dependent upon accessibility and security needs, can access either type of storage.
A hybrid solution for data storage can address commonplace fears about compliance, latency, and security that are raised using pure cloud storage. Depending on bandwidth needs, latency, and risk classification, data can be placed either in the cloud or onsite.
2. Flash data
Storage with flash data is the most frequently-used form, with widespread use in consumer technologies and cell phones. In contrast to conventional storage, which acts by storing info on discs, flash storing accesses data straight from a semiconductor. As the tech progresses in its ability to store larger amounts of info in the equivalent space, prices continue to fall, making flash a logical choice for many mid-sized enterprises.
Recent innovations by Pure Storage, a data storage company, strive to further improve flash storage, which would make it a very viable option for big businesses in the data storage battle. Pure Storage created FlashBlade, a box created to house petabytes of structure-less data on a scale that’s unprecedented. The size of a refrigerator, the box stores as many as 16 petabytes of information, an amount which John Hayes, company co-founder, believes will be doubled by 2017. The scalable blade strategy from Pure is clearly a move in a positive direction, since 16 petabytes is five times the data traditional devices for storage can hold.
Removing the need for unwieldy, proprietary stacks of hardware that are often connected to data storage, Intelligent Software Designed Storage (I-SDS) utilizes an infrastructure for storage that is automated and managed by intelligent software instead of hardware. I-SDS also has quicker response times and is more cost-effective than using hardware for data storage.
I-SDS mimics the way the human brain accumulates immense amounts of information with the exceptional ability to call data up on short notice. In essence, I-SDS permits large streams of data to be bunched together. Stream withdrawal of data and approximate search combine, allowing vast amounts of information to be processed, while at the same time producing the most appropriate and frequent outputs from the search. These methods provide I-SDS with a significant advantage over outdated models of storage because they combine to achieve a high degree of accuracy.
4. Cold storage archiving
While not used often, cold storage is cost-effective. Data that isn’t important is kept on less expensive, slower moving disks, freeing up space on faster disks for data that is essential for immediate use. This is a practical option for big companies with a backlog of info which rarely needs to be readily accessible.
These kinds of companies can store data on a “temperature” basis, where colder data can be economically archived into cold storage, and hot data is kept on flash. The flood of big data, however, translates into enterprises gathering so much data they may have difficulty determining what is important and what can be stored away.
As the total volume of data keeps growing exponentially, the supposed value to enterprises eager to attain information about their customers and products rises as well. Methods of data storage need to be effective, intuitive, safe, fast, and economical – a hard bill to fit in today’s society, where the population is outpaced by data. It will be intriguing to see which method of data storage can simultaneously manage all these needs the best.