Google has announced that it is currently working on a new tool to enable users to search transaction information through more efficient searches of blockchains for specified data.
However, the tool is seen by some as a double-bladed sword, for example revealing that Bitcoin Cash is not as well distributed as thought nor is it used for its heralded suitability for everyday transactions to the degree that advertising might imply. The tool is already being considered by governments for its ability to reveal private information or data that individuals would like to keep to themselves.
The tool is called Blockchain ETL (extract, transform, load) a technology built on Google’s big-data analytics platform, BigQuery. Its developer Allen Day focuses on the less intrusive elements of ETLs, suggesting that if cryptocurrencies fall into mainstream use, then “it will require having some trust in knowing about who it is you’re actually interacting with”, requiring a search technology capable of harnessing the huge store of blockchain data.
The tech is in current use analyzing data on cryptocurrencies and establishing which of these may be legitimate for making everyday purchases, also which exchanges might be creating fake volume as an advertising ploy. ETL and BigQuery currently analyze Bitcoin and Ethereum but plan to add Dash, Litecoin, Zcash, Bitcoin Cash, Ethereum Classic and Dogecoin in the future.
An example of how the tech works is explained by Leon White of Dash Core using the cryptocurrency Dash as an example. He says that while the cryptocurrency encourages the separation of large balances into wallets of 1,000 Dash each, it still has a relatively low Gini coefficient; ETL reveals that:
“Gini coefficient of Dash is excellent compared to other cryptos, even considering masternodes. A low Gini coefficient indicates a more equal distribution of wealth in the data set. So it provides some evidence (but not definitive evidence) that Dash is more fairly distributed than other major cryptocurrencies.”
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