Saturday 18 December 2021

What is Big data as a service (BDaaS)

What is Big Data as a Service 

BDaaS encompasses the software, data warehousing, infrastructure and platform service models in order to deliver advanced analysis of large data sets, generally through a cloud-based network.

Big data as a service is the delivery of data platforms and tools by a cloud provider to help organizations process, manage and analyze large data sets so they can generate insights in order to improve business operations and gain a competitive advantage.

BDaaS = DaaS+ HaaS + data analytics as a service.

Benefits of BDaaS

Initially, most big data systems were installed in on-premises data centers, primarily by large enterprises that combined various open source technologies to fit their particular big data applications and use cases. But deployments have shifted more to the cloud because of its potential advantages. In particular, big data as a service offers the following benefits to users:

  • Reduced complexity. Because of their customized nature, big data environments are complicated to design, deploy and manage. Using cloud infrastructure and managed services can simplify the process by eliminating much of the hands-on work that organizations need to do.
  • Easier scalability. In many environments, data processing workloads aren't consistent. For example, big data analytics applications often run intermittently or just once. BDaaS makes it easy to scale up systems when processing needs increase and to scale them down again after jobs are completed.
  • Increased flexibility. In addition to scaling systems up or down as needed, BDaaS users can more easily add or remove platforms, technologies and tools to meet evolving business requirements than typically is possible in on-premises big data architectures.
  • Potential cost savings. Using the cloud may reduce IT costs by enabling businesses to avoid the need to buy new hardware and software and to hire workers with big data management skills. But pay-as-you-go cloud services must be monitored to prevent unnecessary processing expenses from driving up their cost.
  • Stronger security. Concerns about data security kept many organizations from adopting the cloud at first, particularly in regulated industries. In many cases, though, cloud vendors and service providers are able to invest in better security protections than individual companies can.

Large enterprises lead big data as a service investment

As mentioned, the SMB market doesn’t account for the largest share of the Big-Data-as-a-Service market. Small- and medium-sized businesses only accounted for around a quarter of the USD 5,356.8 million value of the BDaaS market in 2018. However, during the forecast period, the small and medium-sized business segment is expected to grow fastest.











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