I've been working with a collection of files that are stored in Amazon S3, which happen to be in the parquet format. These files represent the edges of a graph I'm working on, and are structured with the following fields: src_id, dst_id, and weight.
Is there a convenient and straightforward method for importing this data into Memgraph without having to go through the hassle of converting the files to CSV format?
At the the moment Memgraph supports (public key auth) via GQLAlchemy (Python + PyArrow). At the moment there is no native integration (C++) for loading parquet files from S3 as is exists for loading CSV files.