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Google Cloud adds 11 blockchains to data warehouse ‘BigQuery’

Google Cloud’s BigQuery service just added 11 blockchains networks to its data warehouse, according to a September 21 blog post. The new networks include Avalanche, Arbitrum, Cronos, Ethereum Görli testnet, Fantom, Near, Optimism, Polkadot, Polygon mainnet, Polygon Mumbai testnet, and Tron.

We’re enhancing our #blockchain data offering with 11 new chains in #BigQuery, and we’re also making improvements to our existing datasets, so they are more precise, accurate, and reliable.

Learn more ↓https://t.co/fNFJiHSJBO

— Google Cloud (@googlecloud) September 21, 2023

BigQuery is Google’s data warehouse service. Enterprise firms can use it to store their data and make queries of it. It also provides some public datasets that can be queried, including Google Trends, American Community Service demographic information, Google Analytics, and others.

In 2018, Google launched a Bitcoin dataset as part of the service, and later that year, it added Ethereum as well. It continued to expand its blockchain coverage in February of 2019, adding Bitcoin Cash, Dash, Dogecoin, Ethereum Classic, Litecoin, and Zcash. The September 21 announcement means that BigQuery now carries data from a total of 19 blockchain networks.

In addition to adding these new blockchains, Google has also implemented a new feature intended to make blockchains queries easier to execute. Through a series of user-defined functions (UDFs), the team has provided methods to handle the long-form decimal results often found on blockchains. In its post, Google claimed that these new functions will “give customers access to longer decimal digits for their blockchain data and reduce rounding errors in computation.”

Google Cloud has been taking an increasing interest in blockchain tech in 2023. On July 7, it partnered with Voltage, a Lightning Network infrastructure provider. And it partnered with Web3 startup Orderly Network on September 14 to help provide off-chain components for decentralized finance.



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