From ac0324813ae1058c306a53c8a097dc9f76ccb335 Mon Sep 17 00:00:00 2001 From: Adrian Date: Mon, 9 Oct 2023 10:53:50 +0200 Subject: [PATCH] formatting --- docs/website/blog/2023-10-09-dlt-ops-startups.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/website/blog/2023-10-09-dlt-ops-startups.md b/docs/website/blog/2023-10-09-dlt-ops-startups.md index 837a7462a4..f956b265b4 100644 --- a/docs/website/blog/2023-10-09-dlt-ops-startups.md +++ b/docs/website/blog/2023-10-09-dlt-ops-startups.md @@ -111,7 +111,8 @@ Customize the INVOICE_QUERIES dictionary in the `unstructured_data/settings.py` ### Step 6: Run the pipeline! -And now the magic happens. Type `python unstructured_data_pipeline.py`. In the next step, dlt will save all processed structured data to the database (in my case BigQuery). +And now the magic happens. Type `python unstructured_data_pipeline.py`. +In the next step, dlt will save all processed structured data to the database (in my case BigQuery). ### Step 7: Check the outcome in BigQuery @@ -131,7 +132,8 @@ Here’s how the result looks like in BigQuery: ![screenshot 2](pdf_parse_outcome_2.png) -Bonus: In order to have a Google Sheet with live updates, you can go to the Data tab in your Spreadsheet → Data Connectors → BigQuery → choose your database and voila, your data will be updated automatically. +Bonus: In order to have a Google Sheet with live updates, you can go to the Data tab in your +Spreadsheet → Data Connectors → BigQuery → choose your database and voila, your data will be updated automatically. ![screenshot 3](pdf_parse_outcome_3.png)