Select Page

Big Data

Almost eight in ten users (79 percent) agree that ‘companies that do not embrace big data will lose their competitive position and may even face extinction.’ Even more (83 percent) have pursued big data projects in order to seize a competitive edge.-Big Success With Big Data, Accenture

Big data analytics is currently undergoing an evolution. While its usage in healthcare, pharmaceuticals, oil and gas organizations and various other industries, is established and unquestionable, businesses across the world are now keen to strategize efficient means of  obtaining meaningful data from a massive pile that is getting harder than ever to navigate.

90% of the world’s information has been produced in just the last two years. SINTEF(2013)

As alarming as that number is, it still doesn’t address the momentum of data growth ‘today’. The amount of data we have is so huge that it exceeds the capability threshold of conventional storage systems. This leads to storage ramble with data centers and storage silos, severe lack of space, and subsequently, data and storage pile on top of each other. It is also likely that users will experience a high input-output requests for a ton of data consisting of exceedingly large files.

So, is big data able to cope with all these data requirements?

Major Issues with Big Data Storage

We see organizations that use traditional systems of storage leaning towards newer and unconventional ways of storage facilities because traditional systems do not have sufficient throughput to deliver data consistently. A few issues organizations typically encounter with Big Data storage are:

  • Short stroking: Most IT habitats typically implement short stroking to compensate for the reduced capability utilized in each disk drive, by increasing the quantity of disk drives. Short stroking is also done to increase the system’s bandwidth, which unfortunately leads to increased expense and poor utilization.
  • RAM: Sometimes, when the flow of data is impaired or ceases entirely, organizations turn to enormous amounts of RAM to cope with the slow processing. Although this sounds like a quick-fix, the issue with it is that servers are capable of only holding a limited amount of RAM. The RAM size limitation is overcome by implementing larger server farms. Now this method, as you can imagine is fairly expensive and out of reach for most organizations.
  • Data examination: Organizations utilize big data analytics to generate information. Workflows are created based on the generated data, in order to engage with customers and clients. Extracting benefits from big data analysis poses one major challenge-  evaluating the colossal amount of data that big data environments produce.

Thinking about Flash Storage? Tell us more and get a Starbucks Gift Card

Take Our 3-QuestionFlash Storage Survey and Get a $10 Starbucks gift card.

ITBR Flash Survey

Flash Storage to The Rescue!

For companies to realize the full potential of Big Data and analytics, it is imperative that they have an IT infrastructure that can handle the demands and issues that large and complex data sets bring. Disk drives in an enterprise arena are as likely to be written as they are read, especially in transactional apps, which is where flash technology comes into play, bringing with it with immense benefits.

Flash storage has become a potential game-changer in the Big Data analytics realm. It is making headway into enterprise IT data centers throughout the world and replacing traditional hard disks, which are comparably slower.

MIT recently completed a test that found that 20 servers using 20TB of flash were just as fast as 40 servers using 10TB of RAM. The flash solution was also far cheaper and consumed less power!

Below, we have highlighted key advantages of flash storage:

  • Flash storage users have reported a drastic decrease in power consumption, cooling requirements, and physical storage – three fundamental concerns with traditional storage mechanisms.
  • For companies with large and complex data sets, traditional storage systems just don’t cut it anymore. Companies require real-time analytical capabilities to accommodate fast-flowing data. Flash storage has played a central role in big data analytics for various industries in this avenue by decreasing latency in the data storage.
  • Flash storage provide its own monitoring and management tools. This personalized tool implementation eases the big data analysis process in a better way, ensuring that businesses can act quickly and more crucially, respond effectively to their client’s requirements.
  • When compared to traditional storage methods, flash storage tends to have much better performance capabilities particularly, in terms of speed. It also delivers intensive I/O delivery, required to run data science within an organization’s operations.
  • Flash storage can handle larger workloads much more quickly, making them brilliant choices for working with convoluted operations and data sets. Most companies have reported remarkable performance of Input/Output Operations Per Second, that can handle the demands that continuous and complicated data bring.
  • Businesses that depend on fast processing for their requirements and need quick access to stored data will likely go with flash storages, as it amplifies the data availability. For instance, in the healthcare industry, flash storage has enabled exceptionally rapid sharing of medical files among the hospital staff to discover real-time arrays of patterns and deliver focus-oriented treatment regimen.

Pure, NetApp, and HP have invested significantly to enhance their flash storage offerings. IBM too, after its lineup with flash storage, has started delivering super-high performance and has been boasting about the benefits of flash storage — eliminated spinning disks, low latency, and lower costs from energy savings.

What does the future of big data and flash storage look like?

Although hard disk drive storage will still remain popular because of its relatively low cost to store and access cold data, it may mean that organizations that don’t make the upgrade to flash storage for active data can get left behind, technologically.

Our prediction is that in the future, this union of flash storage and cloud computing would have paved its way to resource maximization and amplified storage on the cloud. There will be times where legacy hardware will still be used in the data centers. So, it is essential to have a plan B when beginning to move away from traditional hardware while still preserving crucial data. If a more detailed evaluation about the combination of big data and flash storage is needed, using an IT resources expert to help you is the way forward.

Thinking about Flash Storage? Tell us more and get a Starbucks Gift Card

Take Our 3-QuestionFlash Storage Survey and Get a $10 Starbucks gift card.

ITBR Flash Survey