With the rapid development of the Internet, big data information fusion technology, as a business model that breaks the traditional software marketing model, has attracted more and more attention from Internet providers. In the big data environment, multi-tenancy emerges as the times require. Cloud computing providers charge based on multi-tenant usage. Therefore, the compatibility of resources and the interest relationship between multiple tenants and suppliers become the focus of this paper. This article provides a big data cloud computing program for the multi-tenant version. Cloud platform includes development support area, technology management area and service support area. After the user pays and approves, he becomes a multi-tenant of application development, and can test his own application and bring it to the cloud platform. This article provides a reference for resource management and service scheduling of containerized big data platforms. Considering the differences and characteristics of big data services, this paper designs a big data service discovery technology, which provides a technical support for the flexible scale of the data platform. Experimental research shows that the multi-tenant cloud data transmission method adopted in this paper reduces the data transmission processing time by 20%, thus confirming the accuracy of this paper taking data node load and network load as data storage nodes as selection factors.