docs: Add Parquet example

Author: as51340

pages/data-migration/parquet.mdx

@@ -141,9 +141,9 @@ of a single label or relationships of a single type.
 
 <Steps>
 
-  {<h3 className="custom-header">Download the files</h3>}
+  {<h3 className="custom-header">Parquet files</h3>}
 
-  - [`people_nodes.parquet`](https://public-assets.memgraph.com/import-data/load-csv-cypher/multiple-types-nodes/people_nodes.parquet) is used to create nodes labeled `:Person`.<br/> The file contains the following data:
+  - [`people_nodes.parquet`](s3://download.memgraph.com/asset/docs/people_nodes.parquet) is used to create nodes labeled `:Person`.<br/> The file contains the following data:
     ```parquet
     id,name,age,city
     100,Daniel,30,London
@@ -152,7 +152,7 @@ of a single label or relationships of a single type.
     103,Mia,25,Zagreb
     104,Lucy,21,Paris
     ```
-- [`restaurants_nodes.parquet`](https://public-assets.memgraph.com/import-data/load-csv-cypher/multiple-types-nodes/restaurants_nodes.parquet) is used to create nodes labeled `:Restaurants`.<br/> The file contains the following data:
+- [`restaurants_nodes.parquet`](s3://download.memgraph.com/asset/docs/restaurants_nodes.parquet) is used to create nodes labeled `:Restaurants`.<br/> The file contains the following data:
     ```parquet
     id,name,menu
     200,Mc Donalds,Fries;BigMac;McChicken;Apple Pie
@@ -161,7 +161,7 @@ of a single label or relationships of a single type.
     203,Dominos,Pepperoni Pizza;Double Dish Pizza;Cheese filled Crust
     ```
 
-- [`people_relationships.parquet`](https://public-assets.memgraph.com/import-data/load-csv-cypher/multiple-types-nodes/people_relationships.parquet) is used to connect people with the `:IS_FRIENDS_WITH` relationship.<br/> The file contains the following data:
+- [`people_relationships.parquet`](s3://download.memgraph.com/asset/docs/people_relationships.parquet) is used to connect people with the `:IS_FRIENDS_WITH` relationship.<br/> The file contains the following data:
     ```parquet
     first_person,second_person,met_in
     100,102,2014
@@ -172,7 +172,7 @@ of a single label or relationships of a single type.
     101,102,2017
     100,103,2001
     ```
--  [`restaurants_relationships.parquet`](https://public-assets.memgraph.com/import-data/load-csv-cypher/multiple-types-nodes/restaurants_relationships.parquet) is used to connect people with restaurants using the `:ATE_AT` relationship.<br/> The file contains the following data:
+-  [`restaurants_relationships.parquet`](s3://download.memgraph.com/asset/docs/restaurants_relationships.parquet) is used to connect people with restaurants using the `:ATE_AT` relationship.<br/> The file contains the following data:
     ```parquet
     PERSON_ID,REST_ID,liked
     100,200,true
@@ -184,28 +184,23 @@ of a single label or relationships of a single type.
     102,201,true
     ```
 
-  {<h3 className="custom-header">Check the location of the Parquet files</h3>}
-  If you are working with Docker, [copy the files from your local directory into
-  the Docker container](/getting-started/first-steps-with-docker#copy-files-from-and-to-a-docker-container)
-  so that Memgraph can access them.
-
   {<h3 className="custom-header">Import nodes</h3>}
 
   Each row will be parsed as a map, and the
-  fields can be accessed using the property lookup syntax (e.g. `id: row.id`).
+  fields can be accessed using the property lookup syntax (e.g. `id: row.id`). Files can be imported directly from s3 or can be downloaded and then accessed from the local disk.
 
   The following query will load row by row from the file, and create a new node
   for each row with properties based on the parsed row values:
 
       ```cypher
-      LOAD PARQUET FROM "/path-to/people_nodes_wh.parquet" AS row
+      LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/people_nodes.parquet" AS row
       CREATE (n:Person {id: row.id, name: row.name, age: row.age, city: row.city});
       ```
 
   In the same manner, the following query will create new nodes for each restaurant:
 
       ```cypher
-      LOAD PARQUET FROM "/path-to/restaurants_nodes.parquet" AS row
+      LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/restaurants_nodes.parquet" AS row
       CREATE (n:Restaurant {id: row.id, name: row.name, menu: row.menu});
       ```
 
@@ -223,7 +218,7 @@ of a single label or relationships of a single type.
   The following query will create relationships between the people nodes:
 
   ```cypher
-  LOAD PARQUET FROM "/path-to/people_relationships.parquet" AS row
+  LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/people_relationships.parquet" AS row
   MATCH (p1:Person {id: row.first_person})
   MATCH (p2:Person {id: row.second_person})
   CREATE (p1)-[f:IS_FRIENDS_WITH]->(p2)
@@ -233,7 +228,7 @@ of a single label or relationships of a single type.
   The following query will create relationships between people and restaurants where they ate:
 
   ```cypher
-  LOAD PARQUET FROM "/path-to/restaurants_relationships.parquet" AS row
+  LOAD PARQUET FROM "s3://download.memgraph.com/asset/docs/restaurants_relationships.parquet" AS row
   MATCH (p1:Person {id: row.PERSON_ID})
   MATCH (re:Restaurant {id: row.REST_ID})
   CREATE (p1)-[ate:ATE_AT]->(re)