Scaling up data analysis in R with Arrow

Historically, scaling up data analysis in R meant adding infrastructure or radically changing analysis strategy - maintaining a database, working on a cluster, or refactoring code for parallel data processing.

The Arrow ecosystem provides an alternative: fast, memory-efficient analysis without the overhead.

This webinar will cover:

• the evolution of the modern data stack
• practical approaches to working with larger datasets in R
• the impact of the Parquet format on data workflows
• how Arrow enables handling of data that doesn’t fit in memory
• where tools like DuckDB fit into the picture

We’ll look at how to get started, real-world examples, and the design choices that make these tools work well together.

Speaker

Dr Nic Crane – R Consultant, NC Data Labs

Dr Nic Crane is an R educator and consultant. Nic is one of the maintainers of the Arrow R package, a member of the Apache Arrow Project Management Committee, and co-author of Scaling Up with R and Arrow.