Abstract:  With the rapid development of science and technology in China, great progress has been made in the informatization construction of the Central Plains urban agglomeration, and the scientific and technological resources with regional characteristics have been formed. But on the whole, the science and technology service resources of Central Plains urban agglomeration are scattered, the integration is not high, and the service efficiency is low, so it is difficult to achieve the real sense of science and technology resource sharing. In order to solve the above problems, this paper studies data extraction, processing, verification, standardization and fusion technology. Through the technology service data collection integration engine, this paper uses big data integration technology  to integrate the scattered and independent various technology service data into one; HBase column storage database and HDFS distributed file system are used to store different types of data to support the parallel processing of structured, semi-structured, and unstructured data, and then providing various data services such as data retrieval and data analysis to the platform, solving various differences problems of source data integration, completing the architectural design of the science and technology service resource pool of the Central Plains urban agglomeration, improving the utilization rate of science and technology resources, and promoting the rational use of science and technology resources.

Key words: science and technology services, big data, data exchange, data processing, data storage