Data integration solutions have evolved over time from dedicated on - premise tools for moving and trans - forming data to comprehensive platforms supporting a broad spectrum of use cases for today's data - driven enterprises. Now data integration solutions must include heterogeneous, real - time change data capture (CDC) and distribution, data transformation, data quality, data validation, and metadata management — all merged with traditional on - premise, private, and public cloud scenarios. Big Data integration further demands data integration platforms that keep pace with market innovations and support massive scale. The architecture and design of a data integration platform are critical for not only solution performance and developer productivity but also high - level business concerns such as time - to - market, cost of ownership, scalability, and innovation.
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