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The essence of Big Data lies within its definition of deploying high volumes of data, velocity along with the variety of data sets that can become quite difficult for extracting value and managing them. Most of the businesses today have now started gaining insights on how Big Data is going to possess challenges and opportunities for them at the same time. However, the increased adaptability of Big Data has opened several options for the organizations that are looking to capture, manage and analyze large data volumes that can accelerate the decision-making processes and ultimately create competitive advantages. As mentioned before, big data does bring in several challenges as well. Businesses involved with Big Data have started recognizing that they do suffer from an inadequate capacity for processing and storing their data. This, however, is not a clear indication for the businesses as it reflects that the companies cannot deploy the existing large volumes of data to the maximum.
So, to overcome all the challenges and encash on the opportunities, businesses have started incorporating Big Data as a Service or BDaaS.
Defining BDaaS
BDaaS is a framework that comprises of cloud-based and distributed technologies, allowing the users to work efficiently with the Big Data. BDaaS enables organizations to outsource their critical functionalities related to Big Data to the cloud. BDaaS is a beneficial solution for the companies, as it allows businesses to eliminate most of the costs associated with the deployment of Hadoop and allowing them to emphasize more on actionable insights for driving their business. BDaaS can be seen as a subcomponent of various as-a-Service offerings umbrella.
Cloud Computing Layers and BDaaS
Any cloud computing as a Service is a three-layer fold comprising of IaaS, PaaS and SaaS. Talking about IaaS, it is the foundation block and usually contains everything, be it real or virtual, that might be residing inside a data center. Just above the IaaS layer, there is PaaS and it includes everything that is frequently used software such as web and database servers. On top of the PaaS layer, comes the SaaS, which is still more of generic. However, SaaS usually contains more of user-centric applications like web email or CRM systems. Beyond SaaS, there are more of business-specific applications.
Types of BDaaS
BDaaS majorly comprises of two things- a service-oriented data architecture along with quick growth of cloud virtualization.
BDaaS can be classified into the following major types-
1. Core BDaaS:
Core BDaaS is generic and implements the use of minimal platforms such as- Hadoop, YARN, etc. This type of BDaaS has been prevalent in the as-a-service domain for some time now. It is often used by companies that are looking to maintain inconsistent workloads.
2. Performance BDaaS:
Including an optimized infrastructure can be one of the ways for having a vertical integration in the downward direction. By doing so, it carries away some of the virtualization overheads and deploys hardware servers and networks that can match the performance needs of Hadoop. In a nutshell, a performance BDaaS can be considered as a database ecosystem along with optimized infrastructure, i.e., IaaS and PaaS.
3. Feature BDaaS
Another approach followed for the integration of BDaaS but in an upward direction to include the functionalities beyond the common Hadoop offerings. Feature-driven BDaaS emphasizes heavily on efficiency as well as an abstraction so that users become familiar with Big Data. Under Feature BDaaS, there are BDaaS provider’s services such as- web & programming interface with the services reaching the SaaS layer.
4. Integrated BDaaS
Lastly, the final BDaaS can be completely vertically integrated syndicating performance and feature benefits of Performance and Feature BDaaS. A fully integrated BDaaS can be productive, supporting business stakeholders such as its users and experts, thus, delivering maximum performance.
Conclusion
Big Data has emerged quite tremendously in the past few years now, with the volume of data rising every day. By having a BDaaS deployed, it becomes a cost-effective solution. With an in-house system, businesses can have easy access to their business data at any point in time. Lastly, BDaaS also offers a win-win solution to match the Big Data needs for a company.
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