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new 7189c5a Add aws-data-wrangler to "Powered by" section (#71)
7189c5a is described below
commit 7189c5af876bf527ffafc23431e452eac4bfdc5d
Author: Igor Tavares <igorborg...@gmail.com>
AuthorDate: Tue Aug 11 16:56:19 2020 -0300
Add aws-data-wrangler to "Powered by" section (#71)
---
powered_by.md | 4 ++++
1 file changed, 4 insertions(+)
diff --git a/powered_by.md b/powered_by.md
index 48731c3..99f55e4 100644
--- a/powered_by.md
+++ b/powered_by.md
@@ -63,6 +63,9 @@ short description of your use case.
large-scale data processing. Spark uses Apache Arrow to
1. improve performance of conversion between Spark DataFrame and pandas
DataFrame
2. enable a set of vectorized user-defined functions (`pandas_udf`) in
PySpark.
+* **[AWS Data Wrangler][34]:** Extends the power of Pandas library to AWS
connecting
+ DataFrames and AWS data related services such as Amazon Redshift, AWS Glue,
Amazon Athena,
+ Amazon EMR, Amazon QuickSight, etc.
* **[Dask][15]:** Python library for parallel and distributed execution of
dynamic task graphs. Dask supports using pyarrow for accessing Parquet
files
@@ -188,3 +191,4 @@ short description of your use case.
[31]: https://github.com/RandomFractals/vscode-data-preview
[32]: https://github.com/TileDB-Inc/TileDB
[33]: https://github.com/TileDB-Inc/TileDB-VCF
+[34]: https://github.com/awslabs/aws-data-wrangler
