1. A processor-implemented method for analyzing data processing, the processor-implemented method comprising: acquiring, by one or more processors, dependency metadata wherein the dependency metadata is created on a cloud platform, wherein the dependency metadata is used for representing dependency on data among at least two components of an application, and wherein said acquiring dependency metadata comprises: acquiring, by one or more processors, a profile of an application instance from the cloud platform; searching, by one or more processors, a local computer based on the profile to obtain at least part of the dependency metadata, wherein the local computer is connected to the cloud platform via a network; searching, by the local computer, a memory in the local computer for a copy of the dependency metadata; and in response to the local computer locating the copy of the dependency metadata in the memory in the local computer, retrieving, by one or more processors, the copy of the dependency metadata from the memory in the local computer, wherein transmission pressure on the network is reduced when retrieving the copy of the dependency metadata; acquiring, by one or more processors, error information and data output, wherein the error information is used for describing errors that occur while running the application, and wherein the data output includes data output by said at least two components while running the application; analyzing, by one or more processors and based on the error information, dependency metadata and data output relevant to the error information; providing, by one or more processors, an analysis result, wherein the analysis result includes at least one of: a prompt for an error correction method, a relevant dependency metadata leading to an occurrence of an error, and relevant data output leading to the occurrence of the error; and adjusting, by one or more processors, an operation of a computer that is executing the application based on the analysis result.