Data Integration with Google BigQuery

Google BigQuery is among the market's best and most popular data warehouses. Its easy-to-use interface, native integration with other Google services, and vast analytic capabilities make BigQuery a solid choice for many businesses. But how can you integrate data from sources outside the Google ecosystem? And how can you leverage your warehouse to make the most of your data? Join Dataddo CEO Petr Nemeth for this month's 30-minute Feature Spotlight where he will talk about how to set up your data pipelines from your data sources to Google BigQuery. In this webinar, Petr will discuss: - Architecture overview - Setting up ETL/ELT and Reverse ETL pipelines - Using different write modes (append vs. upsert) - Solving the common issues (data duplicates, table partitioning) Content: 0:00-0:28 Intro/Agenda 0:29-5:13 Intro to Dataddo 5:14-8:14 Source creation 8:15-11:04 Destination setup 11:05-19:56 Flow configuration 19:57-21:45 Testing the extraction 21:46-24:27 Checking in Google BigQuery 24:28-26:32 Managing connected services 26:33-27:56 Google BigQuery as a Source 27:57-29:37 Outro