Matt Topol

Join core contributors for an open conversation on what’s next for Apache Iceberg and the broader ecosystem. We’ll unpack the context behind current proposals, explain their impact, and highlight concrete ways the community can work together to accelerate progress.

In 2017, Mark Raasveldt and Hannes Mühleisen (who went on to create DuckDB presented a VLDB paper entitled “Don’t Hold My Data Hostage – A Case For Client Protocol Redesign.” Their paper proposed the use of columnar serialization to achieve order-of-magnitude improvements in query result transfer performance. Eight years later, this talk revisits Raasveldt and Mühleisen’s argument and describes…

There are multiple low-level libraries used for AI development with GPUs such as PyTorch, libcudf, and TensorFlow. Each has pros and cons with different available algorithms and functions, so how do you pick which one to use?

For decades, ODBC/JDBC have been the standard for row-oriented database access. However, modern OLAP systems tend instead to be column-oriented for performance - leading to significant conversion costs when requesting data from database systems.

For decades, ODBC/JDBC have been the standard for row-oriented database access. However, modern OLAP systems tend instead to be column-oriented for performance - leading to significant conversion costs when requesting data from database systems.

Data system interoperability remains a significant challenge in open source ecosystems, with high costs in development time and resources when moving data across complex infrastructures.

There are multiple low-level libraries used for AI development with GPUs such as PyTorch , libcudf , and TensorFlow . Each has pros and cons with different available algorithms and functions, so how do you pick which one to use?

For decades, ODBC/JDBC have been the standard for row-oriented database access. However, modern OLAP systems tend instead to be column-oriented for performance - leading to significant conversion costs when requesting data from database systems.

For decades, ODBC/JDBC have been the standard for row-oriented database access. However, modern OLAP systems tend instead to be column-oriented for performance - leading to significant conversion costs when requesting data from database systems.