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Implement a data analytics pipeline with an event-driven architecture on Google Cloud → https://goo.gle/unicorn-EDAnalytics Stream events in real-time for data analytics on Google Cloud → https://goo.gle/unicorn-StreamAnalytics Here to bring you the latest news in the startup program by Google Cloud are Valeriya Shin and Mathilde Bachy! Welcome to the second season of the Google Cloud Technical Guides for Startups - the Build Series. Build Series - Episode 4: How to get started with BigQuery Tune into our new series for a new episode each time and let us know what you think in the comments below! Chapters: 0:00 - Intro 0:45 - What we’ll cover in the video 1:17 - What is BigQuery? 2:03 - When to use BigQuery? 4:19 - BigQuery ML 5:27 - What is a data pipeline? 5:40 - What is an ETL pipeline? 6:28 - Building Data ETL pipelines with BigQuery 7:55 - What is data governance? 8:43 - Data governance in BigQuery 9:00 - BigQuery pricing 10:28 - BigQuery optimization best practices 10:33 - BigQuery performance and cost optimization 12:39 - [Demo] BigQuery demo console 16:00 - BigQuery customer case study 16:50 - Wrap up! BigQuery pricing → https://goo.gle/3zFk82w What is ETL? → https://goo.gle/3BjbNCW Designing ETL architecture for a cloud-native data warehouse on Google Cloud Platform → https://goo.gle/3PG47yQ Slot recommendations and insights → https://goo.gle/3OHiNMM How does BigQuery store data? → https://goo.gle/3baS919 Understanding BigQuery data governance → https://goo.gle/3vnqPDH NYC Public Data on Google BigQuery [demo] → https://goo.gle/3Qjz0t5 Using the BigQuery sandbox → https://goo.gle/3SaLjcQ Enable the BigQuery sandbox → https://goo.gle/3zH4C6s Check out our website → https://goo.gle/3w2uyGB Google Cloud Technical Guides for Startups playlist → https://goo.gle/3lBtYvu Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #GCPStartupGuides