Scaling up data analysis in R with Arrow

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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.