From 33548b63a9ba5c3f62846aec3740b8975567def2 Mon Sep 17 00:00:00 2001 From: Kevin Kho Date: Tue, 17 Jan 2023 20:58:13 -0600 Subject: [PATCH] Adding Clobotics case study (#418) --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 64e2d725..4c896915 100644 --- a/README.md +++ b/README.md @@ -35,7 +35,7 @@ def map_letter_to_food(df: pd.DataFrame, mapping: Dict[str, str]) -> pd.DataFram return df ``` -Now, the `map_letter_to_food()` function is brought to the Spark execution engine by invoking the `transform()` function of Fugue. The output `schema`, `params` and `engine` are passed to the `transform()` call. The `schema` is needed because it's a requirement for distributed frameworks. A schema of `"*"` below means all input columns are in the output. +Now, the `map_letter_to_food()` function is brought to the Spark execution engine by invoking the `transform()` function of Fugue. The output `schema` and `params` are passed to the `transform()` call. The `schema` is needed because it's a requirement for distributed frameworks. A schema of `"*"` below means all input columns are in the output. ```python from pyspark.sql import SparkSession @@ -230,6 +230,7 @@ View some of our latest conferences presentations and content. For a more comple ### Case Studies * [How LyftLearn Democratizes Distributed Compute through Kubernetes Spark and Fugue](https://eng.lyft.com/how-lyftlearn-democratizes-distributed-compute-through-kubernetes-spark-and-fugue-c0875b97c3d9) +* [Clobotics - Large Scale Image Processing with Spark through Fugue](https://medium.com/fugue-project/large-scale-image-processing-with-spark-through-fugue-e510b9813da8) ### Blogs