Keynote 5: Future of data and databases (en)
While no one doubts the ever-growing importance of data to our future, there is far less agreement on how to manage it. Older, flat and hierarchical databases from the 1960' have been largely replaced with relational systems, which are now under pressure to evolve, because of innovation in unstructured, semi-structured, NoSQL, tuple-store, document-based, in-memory, columnar, flattened-for-data-science, massively-wide, or amorphous Hadoop-style systems, to name just a few. Rafal has worked in the field of advanced analytics and data mining for a decade, and he has specialised in data and IT for over 25 years, seeing its evolution, even catching the very end of the mainframe era. Let him share with you some observations about the likely decisions you and your company need to make to ensure you are delivering the most appropriate data services to those who will continue to rely on them.