Apache Arrow was conceived to solve a balance of system problem for data scientists: making sure that they didn't run out of memory when running their models or run out of budget because they ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.

How Apache Arrow, Apache Parquet, Arrow Flight, and DataFusion bring enhanced data processing capabilities to large volumes of time series and other data.

Julien Le Dem, the PMC chair of the Apache Arrow project, presented on Data Eng Conf NY on the future of column-oriented data processing. Apache Arrow is an open-source standard for columnar in-memory ...