Analyzing on-chain data with BigQuery
Analyzing on-chain data with BigQuery provides a powerful way to extract insights from blockchain transactions, addresses, blocks, and more. Thanks to Google’s public dataset program, data from popular blockchains such as Bitcoin and Ethereum are readily available for analysis, and the process can be streamlined using BigQuery’s robust capabilities.
In the following examples, we’ll identify a few use cases for the analysis of blockchain data and the relevant SQL queries for extracting such data in BigQuery.
The first step is to get familiar with the dataset’s structure and understand the kind of information stored in each table. After that, we can run SQL queries to answer specific questions. For example, if we want to find the top 10 Ethereum addresses by the number of transactions, we could use a SQL query similar to the following:
SELECT `from`, COUNT(*) AS num_transactions FROM &...