With Apache Arrow fast becoming a standard for working with data, most people are primarily familiar with the Python, C++ and Java libraries. This talk instead focuses on the Golang implementations of Apache Arrow and Parquet. The concurrency primitives in Go make it ideal for constructing efficient pipelines for parallel processing of large amounts of data.

This talk will cover getting started using the Go Arrow and Parquet libraries and building a simple data pipeline. It will touch on reading/writing CSV and Parquet data using the Go Arrow modules along with why you'd want to use Go in the first place as opposed to other languages/implementations.