ianmcook commented on a change in pull request #10014: URL: https://github.com/apache/arrow/pull/10014#discussion_r613599475
########## File path: r/README.md ########## @@ -4,250 +4,283 @@ [](https://github.com/apache/arrow/actions?query=workflow%3AR+branch%3Amaster+event%3Apush) [](https://anaconda.org/conda-forge/r-arrow) -[Apache Arrow](https://arrow.apache.org/) is a cross-language -development platform for in-memory data. It specifies a standardized +**[Apache Arrow](https://arrow.apache.org/) is a cross-language +development platform for in-memory data.** It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. -The `arrow` package exposes an interface to the Arrow C++ library to -access many of its features in R. This includes support for analyzing -large, multi-file datasets (`open_dataset()`), working with individual -Parquet (`read_parquet()`, `write_parquet()`) and Feather -(`read_feather()`, `write_feather()`) files, as well as lower-level -access to Arrow memory and messages. +**The `arrow` package exposes an interface to the Arrow C++ library, +enabling access to many of its features in R.** It provides low-level +access to the Arrow C++ library API and higher-level access through a +`dplyr` backend and familiar R functions. + +## What can the `arrow` package do? + +- Read and write **Parquet files** (`read_parquet()`, + `write_parquet()`), an efficient and widely used columnar format +- Read and write **Feather files** (`read_feather()`, + `write_feather()`), a format optimized for speed and + interoperability Review comment: I added some more detail on Parquet further down. I think for now it would be best not to add more links or detail in this section. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
