Technology 

What Businesses Must Take Into Account While Planning To Use The Cloud For Big Data Deployment

Last year saw a major surge in the instances of big data cloud deployments. According to big data professionals, one specific area where the increase in big data usage has been particularly high is BI or Business Intelligence. This is an expected development because many businesses have been eying the cloud for big data developments over the past year.

How Cloud Computing Can Support Big Data

Big Data and cloud computing are clear examples of technology being explored to focus on key business management factors such as agility, scalability, and availability on demand. Big Data can be used for improving flexibility in the areas of deployment and execution and in a very cost effective manner. Cloud computing can support Big Data by presenting a steady and on-demand network that is always available.  The cloud offers configurable and quickly provisioned computing resources that can be managed with minimal effort and mostly without any interaction with the service provider.

The focus of Big Data is on getting greater value which can be achieved through deployment of advanced analytics and reliable data. The key factors that can drive businesses ahead through use of Big Data are:

  • It helps in deriving greater value from data resources of enterprises
  • It can boost productivity across all levels
  • It can help trigger better outcome in the areas of customer acquisition and retention.
  • Helps respond in a more agile and effective manner to business opportunities, as well as challenges.

 

What Are the Key Facts To Consider

In building their case for use of Big Data in the cloud, businesses must first identify the applications which can be improved using Big Data. The overlap between cloud models and Big Data is fairly extensive that businesses can easily convince their stakeholders that they are doing the right thing by using the cloud for Big Data management. Many entrepreneurs are managing the same using on-premise Hadoop, the data warehouse environment of their organization or NoSQL. The choice of using a public or private cloud environment would depend on the individual needs and circumstance of every business.

Cloud hosting services  have the ability to play a crucial role to play in Big Data. This is especially valid for situations such as jobs or applications where a major part of the information or data is already being stored in the cloud environment. For companies to justify their case of using cloud for Big Data, they must be able to provide detailed analysis upfront which amply prove that cloud based approach to Big Data can being in multiple and long term benefits.

The Challenges

Of course, there are many challenges involved in using the cloud for Big Data. There are a few facts that companies must look at closely before they plan ahead. They must first ascertain the size of data and its location. Given the incongruent nature of Big Data, it is possible that they could be located in various locations. Again, some of these locations may not have access to a cloud-based service.

The practicality of moving Big Data to the cloud in such circumstances must also be weighed in terms of effectiveness and costs. They must also consider the possibility of moving the processing to the data as a more practical solution. The volume of the data involved, its location and level of disparateness are all factors that could come into play while making the decision to move to the cloud.

Making The Right Choice Of Cloud Is Key To Success

A Big Data cloud should offer a standard and interoperable environment that can be easily optimized to accommodate newer data as and when they come online. It cannot function as a stand-alone environment. By using the available technology today, Big Data clouds can be quickly configured to support various types and mixes of functional requirements. Companies must choose Big Data analytic clouds that have the ability to expedite re-optimization by restructuring the numerous deployments and by configuration tasks across complex deployments regardless of the size.

Research to Find The Best Possible Solution

Many companies might be not able to forecast the mix of workloads they need to run their Big Data cloud with precision, for now and for their future needs. That’s why experts recommend an extensive and meticulous research before deciding to use the cloud for Big Data deployment. By investing in the best Big Data cloud platform, they will be able to access the tools and applications needed to make the transition smoothly and successfully.

But investing in a reputed and established Big Data cloud platform, tools, and applications, companies will have the confidence that they can complete the task without any hassle and provision resources quickly and efficiently. SLAs or service level agreements must be drawn with the provider to accurately establish operational guidelines and performance parameters.

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