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Home»Blockchain»Added TRON to Google Cloud’s BigQuery Public Blockchain datasets
Blockchain

Added TRON to Google Cloud’s BigQuery Public Blockchain datasets

2023-10-11No Comments2 Mins Read
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The TRON dataset has been added from Google Cloud growing list of public blockchain datasets available in BigQuery.

BigQuery from Google Cloud is a fully managed, serverless data warehouse that enables fast SQL queries using the processing power of Google’s infrastructure. It allows users to analyze large data sets in real time by leveraging the power of Google Cloud’s infrastructure and machine learning capabilities. As part of the comprehensive suite of tools, BigQuery offers seamless integration with various data visualization tools and easy importing of data from multiple sources. Over the years, this commitment has been consistently adapted to meet the dynamic needs of the rapidly growing Web3 community.

With the massive amount of data TRON handles, TRON’s recent inclusion in Google Cloud’s public BigQuery datasets allows users to seamlessly analyze the chain’s transaction history. This in-depth analysis enables the assessment of TRON’s token flows, smart contract interactions, and overall user engagement, all without the need for individual nodes or indexers.

In addition to expanding its data set, Google Cloud is continuously refining its offerings to meet the needs of its users. Feedback-driven improvements, such as increased numerical precision and the integration of User-defined functions (UDF) for better UNIT256, ensure that the data sets remain accurate and relevant.

This message was commissioned by TRON and does not serve as a testimonial or endorsement by The Block. This communication is for informational purposes only and should not be relied upon as the basis for investment, tax, legal or other advice. You should conduct your own research and consult independent consultants and advisors regarding the matters discussed in this communication. Past performance of any asset is not indicative of future results.

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