Added in newer Examples / Quickstarts

basket-analysis/basket-analysis-quickstart/README.md

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+# Basket Analysis Quickstart
+
+This example shows how to use Neo4j Graph Analytics within Snowflake to calculate similarity between parts based on their orders.
+
+We will use the node_similarity algorithm to calculate the similarity.
+
+## Dataset
+The dataset is available on a Neo4j S3 bucket.
+
+## Prerequisites
+
+### 1) Get Source Data
+
+The notebook uses Snowflake Stages to copy data from a Neo4j S3 bucket.
+
+Stages in snowflake are places that you can land your data before it is uploaded to a Snowflake table. You might have a batch of CSV files living on a disk driver somewhere, and, in order to start querying the data via a table, the data must be landed within the Snowflake environment for a data upload to be possible.
+
+In the exercise, we will be working with structured, comma-delimited data that has already been staged in a public, external AWS bucket. Before we can use this data, we first need to create a Stage that specifies the location of our external bucket.
+
+## Running the Example
+
+### Steps
+The `Basket-Analysis.ipynb` notebook has the full example.