The Rise of Big Data-As-A-Service (BDaaS)

Big Data is everywhere. In fact, it’s hard to find a sector of business where big data does not play an important part. From health care to transportation, education, defence, weather forecasting, finance, military and government – all of them rely on Big Data to make crucial decisions.

We have seen the rise of PaaS, SaaS, and IaaS and at present, Big Data-as-a-Serice is an emerging trend with great potential. BDaaS is a rising technology focused on efficient availability of constructive data processing. Within the last few years, many solutions vendors have started focusing on offering cloud-based big data processes and services to help companies and different organisations solve their information management challenges. Many analysts and experts estimate that the IT spending by cloud-based businesses will increase from 15% to 35% by 2021 and the value of BDaaS may reach up to $30 billion.

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What Is BDaaS?

Big Data-as-a-Service is a cloud-based spectrum of software and hardware services for data storage and analysis of increasing amounts of different information that have emerged in the few years due to tech advancements and daily technology usage. The goal of BDaaS is to provide organisations and businesses a cost-effective and valuable tool to produce insights to increase their competitiveness, innovation and return on investment. BDaaS is delivered as an analytical tool or it can also be an information processor.

The key functions of BDaaS include:

  • High Function Service-oriented Architecture. BDaaS provides an architecture that includes Big Data storage architecture, diverse analytical tools and data processing modules that helps reduce the expenses of the user from employing additional data scientists and programming experts. It also gives opportunities for targeted usage of the different layers of the technology, according to specific needs.
  • Cloud Virtualisation Capabilities. BDaaS is based on cloud computing with a horizontal scalability which means that data is stored and processed on multiple levels that have specific tasks. This scalability also allows separate entities to work as one unit and allows new ones if the amount of data will increase.
  • Business Intelligence Tools. BDaaS uses an application software for querying, reporting, data mining, online analytical processing and other elements in order to change raw and unstructured data into constructive information for Business Intelligence.
  • Even-driven Processing. The rising BDaaS technology enables data management in 3 modules – explanatory, descriptive and predictive. Customers will be able to obtain valuable information about issues, threats, possibilities and opportunities that can be used in expanding and the growth of the business. Plus, because of its real-time processing techniques and on-demand features, BDaaS is accurate, timely and affordable.

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Advantages Of BDaaS

Why do businesses need to consider BDaaS to secure the future of their business? Below are just a few of the advantages of implementing BDaaS for your business.

1. Cut Costs

Building up a Big Data environment in a business with in-house IT teams will surely burn a lot of capital which could be used in other core and relevant business operations. Also think of the cost of having additional IT staff. The IT staff that you already have will be able to concentrate on their core duties.

2. Service Architecture

Going for a well-established BDaaS provider, your Big Data applications will have the advantage of being deployed with a proven technology architecture and very functional layers. Plus, a well oriented architecture service will ensure maximum efficiency for business applications. Companies and organisations will able to leverage the advantages and true power of Big Data.

3. Infrastructure Management

Managing intense and large infrastructure means big investments in administration, technical support, security, policy compliances and others departments. This will be the burden of Big Data, be it hardware or complex software integrations in setting up and implementing BDaaS. However, this will not be an issue for a well-established BDaaS service provider.

4. Technological Competence

Any business partnering with a good BDaaS service provider will get expert advice on how to use the right applications to mine the right data sets and get the best insights. Instead of getting their hands on unstructured and large data clusters, the decision makers can more easily access relevant information to make strategic decisions.

5. The Dynamics

BDaaS offers the dynamics of a real-time, on demand operation. BDaaS is flexible and organisations can scale up or scale down their dependence on Big Data applications based on their requirements.

6. Reduced Risk

BDaaS service providers will take care of the infrastructure and staff needed for Big Data applications. Therefore, your business can rely on such services and will be free to concentrate on other processes such as supplying data and getting insights. Extensive security policies will ensure data integrity and security will not be compromised.

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Types Of BDaaS

There are different types of BDaaS which will fit any business requirement. Below are the main types of BDaaS solutions:

  1. Core BDaaS. The Core BDaaS is the considered the generic type and uses infrastructures like Spark, Haddop or Google’s Map Reduce. Many users prefer the Hadoop-based infrastructure because its a free and open source software. The Core BDaaS combines the basic infrastructure with storage applications like NoSQL processing engines, Hive or Amazon’s S3.
  2. Performance BDaaS. This type makes use of basic infrastructure, but it includes provisional use of hardware and software services to optimise performance for specific functions. This increases scalability and computing potential at a predictable cost.
  3. Feature BDaaS. This type evolved to provide the possibilities of application definition according to the needs of specific assignments. So it means that the basic infrastructure will allow the employment of different basic software when needed.
  4. Integrated BDaaS. A combination of Performance and Feature BDaaS which will allow maximum performance.

Differences Between BDaaS, Traditional Big Data and Databases

These three processes may seem to be the same, but below are the differences:


  • Scalability on demand because of a combination of cloud computing and a distributed architecture
  • Virtualised data storage on a distributed platform
  • Unstructured and structured data in a cloud environment
  • Offers advanced analytical functions with on-demand computing power
  • Analytical capability derived from domain-specific algorithms with custom coding

Traditional Big Data

  • Limited access
  • Structured and unstructured data
  • Scalability in processing and storing achieved through distributed architecture
  • Analytical capability by way of custom coding
  • Data storage on HDFS or a distributed platform

 Traditional Database

  • Limited access
  • Structured data
  • Lack of resources like storage capacity and computing power
  • Reporting tools like OLAP
  • Integrated hard storage such as SAN, NAS and traditional disk storage
  • Analytical capability by way of custom coding

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Modern day business growth is now dependent on valuable insights, patterns of behaviour and market changes. Using BDaaS technology can bring ROI without driving your business into a nose dive. It may be difficult for some businesses to throw away traditional approaches and methodologies which have been effective for a very long time, however, businesses need to adapt to technology or be left behind.


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