Data management systems have gone through significant changes in the last 10 years, driven by user demands, novel techniques and improvements in hardware. These have far-reaching implications on how systems are deployed and used in practice.
In this talk, I will focus on three key aspects of modern data management systems: scalability, mutability, and interface. I will share my personal experiences, and will bring several examples from the database and data science worlds.
basic familiarity with data management challenges (e.g., CSV file format, dataframe libraries)
Gábor Szárnyas is a developer relations advocate and technical writer at DuckDB Labs. He previously worked as an academic researcher on data processing systems. He obtained his PhD in software engineering and was a post-doctoral researcher at CWI Amsterdam, the birthplace of DuckDB. He is also a core contributor and board member of the LDBC non-profit company that defines benchmarks for graph data management systems.