How to get started with BigQuery
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!
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