CIOTechie_Blockchain_Cryptocurrency_BigQueryPublicDatasets

Google Increases Its Blockchain Search Tools With Adding Six New Cryptocurrencies In BigQuery Public Datasets

IOT News

Google-Increases-Its_Blockchain-Search-Tools-With-Adding-Six-New-Cryptocurrencies-In-BigQuery-Public-Datasets Google Increases Its Blockchain Search Tools With Adding Six New Cryptocurrencies In BigQuery Public DatasetsHosted by Google Cloud, the BigQuery Public Datasets program has introduced six new Cryptocurrencies to expand its Blockchain search tools. The six new Cryptocurrencies Blockchain datasets are Dash, Bitcoin Cash, Dogecoin, Litecoi, Ethereum Classic, and Zcash. With Bitcoin and Ethereum which added last year, the total count of Blockchain search tools now reached to eight.

BigQuery Public Datasets are stored in BigQuery and that Google BigQuery hosts for the general public through the Google Cloud Public Dataset Program. The Blockchain related datasets comprise the Blockchain’s transaction history to support developers better comprehend Cryptocurrency. Apart from adding new datasets, the search engine giant also has introduced a set of queries and views that draw all Blockchain datasets to a double-entry book data structure which allows multi-chain meta-analyses, in addition to the association with traditional financial record processing systems. With this addition, the Blockchain data sets have been standardized into a unified schema, which means the data is structured in a consistent and easy-to-access manner. The company has also included more data like script op-codes. Having these scripts obtainable for Bitcoin-like datasets allows more improved analyses. They have also built some views that abstract the Blockchain ledger to be presented as a double-entry accounting ledger, which assists to further interoperate with Ethereum and ERC-20 token transactions.

As noted by Allen Day, Cloud Developer Advocate at Google Cloud Health AI, they expect that these new public datasets support customers to try out BigQuery and BigQuery ML for themselves. Or, if someone operates their own enterprise-focused Blockchain, these datasets and sample queries can guide them as they build their own Blockchain analytics.