On February 5, it launched a range of new search tools as part of its BigQuery Public Datasets program. Now, any developer, entrepreneur, journalist or anyone else can search and analyze the blockchains of eight major cryptocurrencies, enabling them to detect patterns in transactions and relationships between addresses, for example
At the most basic level, what Google has made available to developers (and to the general public) are datasets covering the entire transaction history of eight of some major cryptocurrencies. These are Bitcoin Cash, Dash, Zcash, Litecoin, Dogecoin, and Ethereum Classic, as well as Bitcoin and Ethereum, for which the datasets were released on the BigQuery platform last year.
Yet in addition to simply making the transaction histories of the above eight searchable, Google's new release also lets users take advantage of Blockchain ETL (extract, transform, load), a new tool built largely by independent developer Evgeny Medvedev. As stated above, this lets users analyze transactions patterns and the relationship between addresses, and while this might not sound especially monumental, the ability to define patterns means that you can identify pretty much any kind of crypto-related behavior.
For instance, one example mentioned in Google's blog is the detection of mining pools, based simply on checking transaction flows to and from addresses, while another could be the identification of trading bots that may be inflating the price of a cryptocurrency.
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