Apache Arrow and Apache Parquet are upcoming formats (standards, with software libraries) for cloud-native data in columnar storage; their geo-varieties, geoarrow and geoparquet do the same for simple feature (vector) spatial data. In this lecture, the lecturers tried to explain what this means (“cloud-native”, “columnar storage”, “chunking”), what the correspondence and difference between arrow and parquet are, why and when you would (or would not) want to use them, and demonstrated how to use them, using R and/or Python.