Blockchain Data Now Available on Google Cloud BigQuery

Unlocking Blockchain Insights

SQD has added validated data from 10 blockchain networks to Google Cloud’s BigQuery platform. This move gives developers and companies access to full chain histories checked through six cryptographic tests. The data is now available to users worldwide.

What Does This Mean for Blockchain Adoption?

SQD is supplying indexed blockchain data through Google Cloud's BigQuery, a fully-managed enterprise data warehouse service. This allows users to run complex queries on large datasets. The data is sourced from 10 blockchain networks, including Ethereum, Binance Smart Chain, and Polygon. It is checked through six cryptographic tests to ensure its accuracy and validity.

The addition of validated blockchain data to BigQuery is expected to unlock new insights and use cases for developers and companies. By providing access to full chain histories, SQD is enabling users to analyze and understand blockchain data in a more comprehensive way. This can help to identify trends, patterns, and correlations that may not have been apparent before.

What blockchain networks are supported by SQD on BigQuery?

The availability of validated blockchain data on BigQuery is likely to accelerate blockchain adoption in various industries. By providing a reliable and trustworthy source of blockchain data, SQD is helping to build confidence in the technology. This can lead to increased investment and innovation in the blockchain space.

How is the data validated?

SQD is currently supporting 10 blockchain networks on BigQuery, including Ethereum, Binance Smart Chain, and Polygon. The company plans to add more networks in the future.

The data is validated through six cryptographic tests to ensure its accuracy and validity. This helps to build trust in the data and ensures that it is reliable for analysis and decision-making.

What are the potential use cases for this data?

The potential use cases for this data are vast and varied. It can be used to analyze and understand blockchain trends, identify patterns and correlations, and build predictive models. It can also be used to support business decision-making and strategy development.