Evolution of SDMX: Past, Present, and Future Insights
Explore the journey of SDMX from its historical foundations to its current importance and future challenges. Discover the benefits of data standards, success stories, continuous development, and upcoming trends in Big Data Analytics and SDMX. Learn about the efforts to make SDMX fit for the future through improved data visibility, availability, and usability in line with emerging software engineering trends.
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SDMX past, present and future Reinhold Stahl (Deutsche Bundesbank) SDMX Global Conference Budapest, 16th September 2019 1
SDMX offers a range of benefits: a clear model for describing statistical data and metadata a common language for statistics an information model enabling machine-to- machine-communication a reliable standard for various tools a platform independent solution 3
SDMX - Many years of success - 5
Three key success stories: Internationally harmonized statistics Utilizing the strength of SDMX to build powerful data warehouses Importance of being recognized as an ISO Standard 6
Big Data Analytics and SDMX: Use SDMX to store result data sets of Big Data Analytic Processes Apply Big Data Analytics methods to large volumes of high-dimensional SDMX data 9
Making SDMX fit for future: Better visibility of existing data Better availability of comprehensive and ready-to- use products Better usability given the new trends in software engineering 10