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The Internet giant Google has expanded the big data analysis with the inclusion of tools to explore the Ethereum blockchain.
Just a few months after the release of Bitcoin support for its BigQuery database tool, Google announced a new platform plug-in for the Ethereum platform. In a blog post last week, the technology giant said:
"Ethereum and other cryptocurrencies have captured the imagination of technologists, financiers and economists Digital currencies are just one of the applications of the underlying blockchain technology. At the start of this year, we have made the Bitcoin data set available for analysis in Google BigQuery, and today we are making the Ethereum dataset available. "
The post explains how to explain the main differences between the Ethereum and Bitcoin blockchains. These include a smart token-based contract principle, a transfer of direct and precise Ether values similar to debits and accounting accounting credits and the virtual machine capable of executing arbitrary code. He added that the Ethereum blockchain data was now available for viewing with BigQuery, the Google Web service that enables interactive analysis of large data sets in collaboration with Google Storage.
Chrome users are now able to access and read all the data stored on the Ethereum blockchain.
"A visualization like this (and the query substring of the database) is useful for making business decisions, how to prioritize the improvements in the architecture of Ethereum itself (the system approaches capacity and needs updating?) To budget adjustments (how fast can a portfolio be rebalanced?). "
A software system was built on Google Cloud that" synchronizes the Ethereum blockchain with computers running Parity in Google Cloud, performs a & quot; daily draw data from the Ethereum blockchain register, including the results of smart contract transactions, such as token transfers, and de-normalizes and stores data partitioned data on BigQuery for easy and cost-effective exploration. "
Google he then showed some examples of how these data could be used. The first of which was a list of the most popular smart contracts for transaction counting. The most popular smart contract among the ERC721 (collectible) by number of transactions is the main contract for Cryptokitties, not surprisingly. This data can then be analyzed to find out more about the evolution of these digital media in the form of some fancy graphics.
Another example was a look at the ten most popular ERC20 contracts and some statistics of the number five, OmiseGO, with flight tests showing a high number of OMG receivers but no increase in senders.
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