Google Cloud’s BigQuery Enhances Data Accessibility with 11 New Blockchain Chains

Google Cloud’s BigQuery Enhances Data Accessibility with 11 New Blockchain Chains

Crypto News – Google Cloud’s BigQuery has recently integrated data from 11 prominent blockchain chains into its publicly available datasets. This integration serves as a valuable tool for users seeking to analyze various blockchain networks, enhancing their understanding of cryptocurrencies and blockchain technology. Stakeholders such as blockchain technology foundations, Web3 analytics firms, partners, developers, and customers are keen on gaining deeper insights into the crypto space.

Enhanced Public Datasets for NFTs and Blockchain Metrics

The primary objective of this integration is to address challenging issues and validate subjective claims by quantifying non-fungible tokens (NFTs) minted across blockchain networks, comparing transaction costs, and tallying active wallets, particularly on large Ethereum Virtual Machine (EVM)-based chains. These datasets cater to the demands and data needs of the blockchain community by improving the existing public datasets on BigQuery.

The introduction of these new datasets enables the Web3 community to tackle these challenges and more without the need for node or indexer modifications. This advancement facilitates easier access and evaluation of data related to asset movement, token popularity, and smart contract usage across various blockchain networks. BigQuery’s public datasets now encompass 11 well-known chains, including Avalche, Cronos, NEAR, Optimism, Polkadot, and Polygon.

Understanding Blockchain Concepts and Technologies

Avalanches, which result from heavy snowfall or ice, metaphorically symbolize the rapid growth and activity within blockchain networks. Similarly, terms like “Arbitrum” and “Cronos” not only represent specific blockchain platforms but also embody important computer science concepts. The integration of decentralized finance (DeFi) platforms such as Ethereum (Görli testnet) and Fantom (Opera mainnet) underscores the expanding influence and applications of blockchain technology.

Promoting Blockchain Interoperability and Research

Polkadot’s emphasis on blockchain interoperability underscores the industry’s efforts to create more connected and seamless blockchain ecosystems. The mention of two-dimensional polygon nets representing three-dimensional connected polygon objects signifies the complexities of blockchain networks. The availability of data from a multitude of chains enriches blockchain research by providing a comprehensive view of the ecosystem.

Google Cloud’s Collaborative Expansion for Enhanced Data Accessibility

Through managed datasets, Google Cloud is enhancing community-controlled datasets, contributing to more comprehensive public databases. Notably, the Ethereum dataset on Google Cloud offers detailed information encompassing wallet balances, ERC20, ERC721, and ERC1155 token transactions, as well as smart contract interactions. Google Cloud is also addressing number precision and crypto price accuracy, introducing User-Defined Functions (UDFs) to combine UNIT256 and BIGNUMERIC1. This innovation allows users to access blockchain data with improved numerical precision, reducing calculation rounding errors and enhancing data analysis.

Streamlining Data Access and Analysis

Traditionally, users had to connect to specific nodes and maintain indexers to access blockchain data. However, Google Cloud has simplified this process by retrieving on-chain data off-chain, streamlining data access and analysis by eliminating the need for node operation.

Commitment to Blockchain Data Availability and Value

Google Cloud has a longstanding commitment to providing public blockchain datasets and accessible data to the blockchain community. The inclusion of additional blockchain chains in the BigQuery public datasets underscores Google Cloud’s dedication to promoting blockchain data equality. Users can now achieve a better understanding of cryptocurrencies, conduct sophisticated investigations, and access blockchain data quantitatively and accurately through this updated version.