Bdaas the era of "big data as a service" is coming

In the traditional cloud computing four-tier architecture, enterprises are often exposed to SaaS (software as a service), Paas (platform as a service), Daas (data as a service) technology , in the cloud-based technology of big data services increasingly popular today, the use of "cloud computing + Big Data Technology", Provide faster, more valuable data services for the enterprise and usher in big data as a service ("Bdaas").

According to a preliminary estimate, cloud-based Bdaas will rise from about 15% to 35% in 2021, compared with the proportion of corporate big data spending. The Bdaas market is expected to reach $30 billion (about 183.6 billion yuan), given that global big data spending will reach $88 billion (about 538.6 billion yuan).

The market size is so big, the manufacturers all want to participate in one piece of the soup, that is what Bdaas? What is the difference and connection with the traditional Daas? What vitality and value does Bdaas have?

First of all, Bdaas can be basically understood as "cloud computing + Big Data" in the context of Daas, in the traditional Daas layer, in addition to provide enterprises with the necessary types of data services, but also to provide various types of data analysis and analysis, for enterprises, still need to be all kinds of irrelevant data to summarize and analyze, Analysis and data mining tools are still needed, and relevant technologies and business personnel are still needed; from a service perspective, the advent of the Bdaas layer has outsourced various big data capabilities to cloud services, including the provision of data, the provision of analytical tools, analysis of data, and reporting. Some Bdaas providers also include consulting and consultancy services in their tools.

The advent of big data-as-a-service (BDAAS) will solve these problems, and in theory technical details will "cease to exist" and users can focus on solving business problems. Bdaas expands the traditional Daas layer, through the various business and analysis systems, the integration of various types of enterprise data, the structural, semi-structured and unstructured data will be extracted and analyzed through the big data technology, the external presentation of unified data Services, enterprises through the analysis of data, more in-depth understanding of the business, Analysis of pain points , peer competition analysis, product sales trend forecasting, so as to improve the overall competitiveness of enterprises, and promote the rapid growth of business.

Secondly, from the service point of view, enterprises in the early investment, in the storage and management of a huge amount of information requirements, will continue to invest resources and time, which for small and medium enterprises, undoubtedly increased the burden and entry threshold.

Bdaas providers will solve these problems for customers by renting their cloud-based storage services and analytics engines to pay for their usage time or data volume. Bdaas providers take on the costs of compliance and data protection, and when data is stored on their cloud servers, they will be responsible for all the work.

such as the generation of smart watches, will undoubtedly lead to a large number of Bdaas applications. These apps will collect data from millions of users who wear smart watches, including health information, physical activity, commute road maps, and more. It giants such as Neusoft, Apple and IBM have also recently unveiled plans to collaborate on big data health platforms.

Finally, Bdaas is playing an increasingly important role in product sales and marketing. At present, many enterprises online provide customer Analysis Services, including the world's largest direct sales data sellers Acxiom. By analyzing the vast collection of personal information, these companies can effectively understand the user's behavior habits, so that their customers in the marketing of this area to get a leading position.

As more and more businesses become aware of the value of deploying big data strategies, there will be more services available to support them. Big data analytics can bring positive changes to companies that really value it, including small and medium-sized companies that lack the costs and skills.

With the growing popularity of software as a service, we will be working more and more in virtual environments, and integrating analytics in this process will be a natural next step, which will make it possible for many enterprises that previously thought big data projects to be impossible to participate and implement big data projects.

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Bdaas the era of "big data as a service" is coming