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BigQuery: da teoria à prática

BigQuery: da teoria à prática

Apresentação sobre o Google BigQuery feita no Living Lab para o GDG Campo Grande.

Antoniel Cardoso Martins

April 12, 2019
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  1. @antonielcm - Engenheiro de Software na Magnetis Investimentos - Ruby,

    C#, JS, Python... - Entusiasta de tecnologias baseadas na nuvem - Fazer devops é
  2. “BigQuery is an SQL-based Data Warehouse as a Service (DWaaS)

    that requires no upfront hardware provisioning or management. Single queries can cover petabyte-sized datasets and utilise thousands of CPUs distributed across 100s of machines. While you aren’t running queries, you only pay a tiny amount for data stored ($0.02 per GB per month, or less).” https://medium.com/sajari/bigquery-a-serverless-data-warehouse-9a4d623f3f43
  3. - https://cloud.google.com/files/BigQueryTechnicalWP.pdf - https://medium.com/skyshidigital/what-bigquery-is-and-isnt-d092fa173d53 - https://cloud.google.com/blog/products/gcp/bigquery-under-the-hood - https://medium.com/google-cloud/bigquery-optimized-cluster-your-tables-6 5e2f684594b -

    https://panoply.io/data-warehouse-guide/bigquery-architecture/ - https://tech.marksblogg.com/billion-nyc-taxi-rides-bigquery.html - https://cloud.google.com/bigquery/docs/best-practices-costs - https://cloud.google.com/products/calculator/