Ethereum Blockchain added to Google’s Dataset

The Google Cloud team has officially made the Ethereum (ETH) dataset available in BigQuery. According to an official blog post, Google stated that the ETH blockchain is now available in Google dataset and is expected to be updated on a daily basis. The team handling this project in Google explained that the ETH dataset tool was created in other to help businesses make the right decisions.

The dataset is expected to help adjust balance sheets accurately and adequately – this involves determining how well a wallet can be rebalanced.

This Ethereum blockchain also comes with an improved functionality – APIs. The APIs perform random functions such as checking for transaction status, checking a user’s wallet balance and looking up wallet-transaction associations.

BigQuery’s OLAP features will help to aggregate such types of data and visualize it. More so, the new tool comes with another feature which allows it to sync with Cryptokitties. BigQuery can collect data from different accounts that own at least 10 CryptoKitties (color on the graphics indicates owner) and their mascots’ reproductive fitness (size).

Furthermore, the BigQuery dataset software based on its Google Cloud synchronizes the ETH blockchain to computers running Parity. This is a UK-based provider of infrastructure software for networking with the Ethereum network, which performs daily mining of data from the Ethereum blockchain ledger and stores date-partitioned data to BigQuery for exploration.

As a result of the acceptance of blockchain by a growing number of users, Google has now expanded into various blockchain based tools and services this year. The company in February 2018, created a similar tool for the Bitcoin (BTC) blockchain to visualize transactions, detect anomalies, and extract necessary data from the blockchain ledger.

Google in July partnered with two blockchain-focused firms, BlockApps and Digital Asset to offer new distributed ledger technology (DLT) solutions on Google’s Cloud Platform.