{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Technology Explorations in Data & AI","title":"Data Ingestion using PyAirbyte","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/309a5050\"></iframe>","width":"100%","height":180,"duration":1050,"description":"Move your Google Drive documents straight into Postgres using Python and PyAirbyte. In this Technical Explorations episode, Jonny and Tarik from Dataminded show how they ingest internal meeting transcripts (Facts at Breakfast, Learning Over Lunch) from Google Drive into a relational table, ready for querying and AI use cases.You'll see how to:Configure PyAirbyte to read from a Google Drive folderAuthenticate with a Google service account (JSON key)Convert Airbyte output into a clean pandas DataFrameLoad the processed data into a Postgres tableDiscuss performance limits, API rate limits, and batchingReflect on when PyAirbyte is great for PoCs vs. production setupsWe also touch on:How many connectors Airbyte offers and what PyAirbyte can reuseTrade-offs of code-first ingestion vs. point-and-click UIIdeas for the next step: using MindsDB and LLMs to query this knowledge baseResources:Demo code: https://github.com/datamindedbe/demo-technology-exploration/Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnbChapters:\nData & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype.\nMusic by Aleksandr Karabanov from Pixabay","thumbnail_url":"https://img.transistorcdn.com/V80li3FBtt4YhR0iCe1L51ztsp3FXGLNxn2afnWepIo/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YThj/NTg4YjJhMjNmMWYz/ZGVmMWE2ZWNkYTgz/MzI4ZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}