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. It generates insights in order to improve business operations and gain a competitive advantage.
BDaaS is a form of cloud computing, similar to software as a service, platform as a service and infrastructure as a service. You can also hire big data organized services to help you manage large data sets.
Initially, most big data systems were installed in on-premises data centers that combined various open source technologies to fit their particular big data applications. But deployments have shifted more to the cloud because of its potential advantages.
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.
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.
Common core technologies include the Hadoop distributed processing framework, Spark processing engine, and Scala programming languages.