Betting on Big Data? Support Your Analytics Initiatives With Colocation

Big data exploded onto the scene just a few short years ago, but in that time, the strategy has become the linchpin driving some of the most important decisions business leaders will make. After all, there's something quite powerful about being able to analyze large amounts of information and pull the most valuable, actionable insights from this data.

However, companies have quickly discovered that special tools are required in order to fully reap the benefits data analysis can offer. One of the first challenges to address here is the need for large, scalable computing resources that can help store data and support analytics processes. What's more, not just any solution will do - businesses need a partner that can provide them with the tools and services that will poise their big data analytics for success.

As big data continues to be an increasingly critical part of enterprise activity, it's absolutely essential to have colocation in place to enable the processes these initiatives require.

Big data and colocation: Growing in tandem

A popular statistic that comes up in terms of big data is the fact that much of the world's information was created within the past two to three years. This comes as a result of increasingly technological systems, including the cloud and the Internet of Things. What's more, these types of platforms and appliances are seeing increased adoption, creating even more big data than ever before.

In addition, enterprises in every industry are discovering new internal sources of information every day. Everything from the customer relationship management portal to purchasing habits and demographics details can paint an important picture for company managers and decision-makers.

Information Management contributor David Weldon pointed out that a few emerging trends are also driving the limitless growth of big data. According to Weldon and MapR CEO John Schroeder, these strategies include:

  • Converged strategies including the integration of production workloads and analytics will drive big data in the coming months, especially as these approaches become increasingly mainstream.
  • Centralized and distributed workloads will also contribute to big data growth, particularly as technology continues to cycle back and forth between the two.
  • IoT technology like sensors, Bluetooth enabled appliances and other items included in these systems will continue to create huge amounts of big data with additional use.
  • Increasingly advanced storage - including cost-effective colocation - will make it easier and more efficient for companies to adopt big data strategies.

As big data continues to grow, the colocation market is expanding right alongside it. This sector has seen expansion for the past few years, and much of this has to do with the increasing importance of big data analysis.

According to a recent MarketsandMarkets report, the global colocation market is set to reach $54.13 billion within the next four years, expanding at a compound annual growth rate of just over 16 percent. This is significant, considering the market achieved a value of $25.70 in 2015. The connection here is clear - colocation is required in order to support the growing amount of data companies leverage for analysis purposes. Without colocation, businesses can quickly run into numerous pain points that could hamper their efforts.

Pain points create need for colocation support

In the past, organizations typically had smaller, dedicated data centers to house their information and infrastructure. Many of these were in specially designed rooms on the company's premises, but this model quickly became costly, work-intensive and inefficient to sustain. While this approach may have worked in the past when a few key applications were some of the only items housed there, growing data repositories put added pressure on the internal IT team, who had to fight to keep up.

What's more, without adequate scalable computing resources, businesses simply don't have the space they need to store critical information used for analysis. This can lead to further complications, as big data that includes gaps in knowledge can't offer the complete picture and valuable insights that fuller data sets can provide.

If they go unaddressed, pain points like these can truly hamper and limit the beneficial insights that big data initiatives are known for.

The solution: Colocation

The answer here is to partner with an expert colocation provider that can offer the scalable space and high-intensity computing resources that today's businesses require for big data analysis. "As organizations grow, they soon demand sophisticated compute resources that can stock the bulging data," MyTechLogy noted. "Data center colocation is something that can meet the storage requirement as well as boost the functionality level [and] cost-efficiency."

And these aren't the only advantages colocation can offer when it comes to big data. Thanks to having an expert partner in place, the IT team is no longer held back by the responsibility of maintaining and updating the infrastructure supporting the company's big data. This not only frees up critical time for them to complete other essential tasks, but can provide peace of mind as these important resources are in the hands of experts who can ensure that nothing falls through the cracks.

In addition, colocation providers are also able to offer a level of robust connectivity that's essential for big data analysis, but which is considerably difficult to achieve outside of a colocated environment. Especially when it comes to the actual analysis, big data activities must have high-performing computing support, and any lapse in this connectivity can cause the initiative to quickly go off the rails. A colocation provider can ensure that the necessary network support is always in place.

Finally, it's important to note that colocation can offer incredibly affordable scalability that simply isn't possible for businesses to cost-effectively achieve on their own. Within a colocation data center, the service provider can grow the company's environment right alongside its data, ensuring that there's always space for more information. If done in-house, this level of scalability would typically require construction, the purchase of servers and other network equipment as well as expert staff members to install, configure and ensure the proper usage. The price tag of such an endeavor can add up fast, but when done with the skilled assistance of a colocation provider, it's more affordable than ever.

The bottom line here is clear: Colocation support is now a requirement for today's big data analysis initiatives. To find out more about how an expert colocation provider can benefit your company's big data pursuits, contact Data Realty today.