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By CIOReview | Tuesday, August 16, 2016

The integration of revolutionary concepts, Big Data and Cloud has stirred new wave of IT innovation across industries. Conversely, 2013 Gartner’s Research unveiled that the rapid accumulation of data stands as a predominant contributor of storage-related challenges. The sheer volume and velocity of big data compounds the issue of segregating and discarding unwanted information in order to have more cost-effective storage tiers. Cloud computing and storage services are   an effective medium to resolve these issues. In the recent times, enterprises as well as cloud providers are planning to entwine cloud and big data technologies to derive maximum benefits. To enable this, cloud planners need to chalk out the best cloud database platform to conjoin these technologies in order to provide a next-generation cloud big data service.  This involves considerable assessment of benefits of implementing cloud and big data for enterprises with varied business requirements.

Understanding the Potential of Big Data on Cloud

The amalgamation of these two technologies can decrease operating costs, impacting an organization’s financial management with regards to storage. In addition, cloud and big data can increase revenue while also creating new revenue flow. Both technologies can also help companies better recognize their customers by enabling timely access to accurate data stored in a secure cloud environment to  identify resources, business opportunities, and ways to enhance customer satisfaction.

SMBs at Advantage

Combinations of cloud and big data can be game changers for small enterprises. The blend of these technologies can enable SMB to swiftly upgrade their product development life cycle. According to recent research conducted by CEO Survey and Technology Forecast, PricewaterhouseCoopers in 2015, about 18 percent of small businesses and 57 percent of medium businesses currently use data analytics solutions. However, with the cloud becoming more prominent, these figures are anticipated to increase over the next few years.

Challenges in Bringing Big Data on Cloud

Cloud Computing privacy concerns keep on hampering clients who outsource their private information into the distributed storage. Data governance is another compelling challenge while coalescing big data technology with cloud. Cloud computing data governance exemplifies the activity of control and power over information related rules of law, accountabilities of people and data frameworks to accomplish business goals. The key issue of big data in cloud governance relates to applications that devour colossal amount of information gushed from outer sources. In this way, a reasonable and satisfactory data policy is needed to determine the type of data that must be stored. Also, the availability time and channels of retrieving the data need to be defined.  Lately, cloud service providers are demanded to effectively serve the needs of the mobile user who needs single or multiple data within a short amount of time. So, there shouldn’t be a break in services during security breach. 360-degree view of customer purchases is also a looming hurdle in conjoining of these technologies. Many enterprises’ IT infrastructures comprise of a large number of acquired systems. In the light of this, merger-based retailers, have a tough time trying to get a complete view of a customer’s purchases, particularly where subsidiaries have utilized cloud based apps and relied on Big Data.

Obvious Perks of the Big Data and Cloud Combo

Effortless Implementation: To implement any big data solution, it requires incorporation of various components and in a desegregated manner. Cloud computing can diminish complexity and will enhance the company’s profitability by effortlessly implement any big data solution into the enterprises infrastructure.

Rapid provisioning and time to market: Provisioning servers in the cloud is as simple as purchasing something on the internet. Big data environments can be scaled up or down effortlessly in view of the mentioned prerequisites. Quicker provisioning is essential for Big Data applications as the value of data diminishes rapidly as time passes by.

Flexibility/scalability: Big data analytics, particularly in the life sciences industry, requires colossal processing power for a brief measure of time. For this sort of examination, servers should be provisioned in minutes. This sort of adaptability and flexibility can be accomplished in the cloud, supplanting colossal investments on super PCs with just paying for the computing on an hourly basis.

Amplifying revenues through identification and rolling out new products and services could be enabled with this combination. Apart from cost savings being considered as the biggest benefit from the computing and data storage combo— high level of flexibility and scalability, the horizons are broadening for companies to  explore better business opportunities.

What the Future Holds for Companies Embracing Cloud Big Data Platforms

According to a survey conducted by Forbes in March 2016, 82 percent of CIOs cite security as the top driver for IT spending this year, followed by cloud computing (62 percent) and big data analytics (60 percent). CIOs expect cloud consumption (private/public/hybrid) to rise from 31 percent consumption in 2014 to 58 percent in 2018. Cloud computing helps in alleviating the problems faced while organizations use big data technology by providing resources on-demand with costs proportional to the actual usage. The full view of customers provided by the cloud and big data helps businesses plan for the future and understand how products and services are being received in detail. Hence, if the integration of cloud computing and big data pans out well, enterprises will get in terms of time, money, and productivity.