From 6b05dd76e989b39d31f51d6931e612e58d8eb1bb Mon Sep 17 00:00:00 2001 From: Grigory Shumkov Date: Sun, 5 Oct 2025 14:55:43 +0200 Subject: [PATCH 1/2] typo fix: parquet file format --- 01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb b/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb index 25f1c3e56..e75064f88 100644 --- a/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb +++ b/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb @@ -7,7 +7,7 @@ "source": [ "# Data loading \n", "\n", - "Here we will be using the ```.paraquet``` file we downloaded and do the following:\n", + "Here we will be using the ```.parquet``` file we downloaded and do the following:\n", " - Check metadata and table datatypes of the paraquet file/table\n", " - Convert the paraquet file to pandas dataframe and check the datatypes. Additionally check the data dictionary to make sure you have the right datatypes in pandas, as pandas will automatically create the table in our database.\n", " - Generate the DDL CREATE statement from pandas for a sanity check.\n", @@ -236,9 +236,7 @@ "\ttotal_amount FLOAT(53), \n", "\tcongestion_surcharge FLOAT(53), \n", "\t\"Airport_fee\" FLOAT(53)\n", - ")\n", - "\n", - "\n" + ")\n" ] } ], From 8db69186add1715eeb5f31f51331047f910f4c96 Mon Sep 17 00:00:00 2001 From: gshumkov <30426061+gshumkov@users.noreply.github.com> Date: Sun, 5 Oct 2025 17:34:27 +0200 Subject: [PATCH 2/2] further typo fix --- 01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb b/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb index e75064f88..59c28b7bb 100644 --- a/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb +++ b/01-docker-terraform/2_docker_sql/data-loading-parquet.ipynb @@ -9,10 +9,10 @@ "\n", "Here we will be using the ```.parquet``` file we downloaded and do the following:\n", " - Check metadata and table datatypes of the paraquet file/table\n", - " - Convert the paraquet file to pandas dataframe and check the datatypes. Additionally check the data dictionary to make sure you have the right datatypes in pandas, as pandas will automatically create the table in our database.\n", + " - Convert the parquet file to pandas dataframe and check the datatypes. Additionally check the data dictionary to make sure you have the right datatypes in pandas, as pandas will automatically create the table in our database.\n", " - Generate the DDL CREATE statement from pandas for a sanity check.\n", " - Create a connection to our database using SQLAlchemy\n", - " - Convert our huge paraquet file into a iterable that has batches of 100,000 rows and load it into our database." + " - Convert our huge parquet file into an iterable that has batches of 100,000 rows and load it into our database." ] }, {