Querying 100 Billion Rows using SQL | BigQuery

Publicado el: 29 enero 2025
en el canal de: Arpit Agrawal (Elastiq.AI)

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A simple SQL query is executed against a table containing 100 Bn rows and 7 terabytes of data. Despite the massive scale, the query completes in just 14.2 seconds with only 1.2 terabytes of data being processed, and the total cost of the query is a mere $6, demonstrating the efficiency and affordability of #BigQuery.

Key Takeaways:

BigQuery's serverless architecture and optimized storage format enable rapid analysis of massive datasets.
The pay-as-you-go pricing model makes it a cost-effective solution for organizations of all sizes.
The ease of use and intuitive interface make it accessible to data analysts and engineers of all skill levels.
By leveraging the power of BigQuery, organizations can unlock valuable insights from their data without the complexities and costs associated with traditional data warehousing solutions.

Connect with us:
Website: https://elastiq.ai
LinkedIn: / elastiqai
Twitter: https://x.com/elastiqai

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