SubQuery to Provide Indexing and Querying Infrastructure to Developers on Algorand | HackerNoon

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SubQuery to Provide Indexing and Querying Infrastructure to Developers on Algorand | HackerNoon
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'SubQuery to Provide Indexing and Querying Infrastructure to Developers on Algorand ' blockchain blockchaindevelopment

A SubQuery design is a comprehensive API for organizing and querying Layer-1 data. This data-as-a-service, which supports the Polkadot, Substrate, Avalanche, Terra, and Cosmos projects, lets programmers concentrate on their primary use case and front-end rather than spending time constructing a specialized backend for information processor tasks. The SubQuery Network plans to recreate this robust and dependable solution in a decentralized way in the future.

SubQuery's tools organise, store, and query data from the chain for multi-chain applications. It allows developers to focus on product development and user experience, eliminating the need for specialised servers for data processing. Data indexing technology that is both agile and adaptive via pre-configured indices makes it feasible to index chains using SubQuery dictionaries. SubQuery manages and stores data without system failure as a blockchain-based decentralised network. SubQuery's integration with the Algorand ecosystem allows web3 applications built on top of Algorand to take advantage of the protocol's data sorting and structuring capabilities for use in future technological and commercial endeavours.

After the integration of indexing tools on Algorand, the developers building web3 applications will have access to all the tools, documentation and developer support provided by SubQuery allowing for the organization and query of unsorted and unorganized data retrieved from layer-1 blockchains to build web3 applications and business models based on the fundamentals of rich data-driven knowledge pool.Data management is fundamental to all blockchain and DApp processes.

As the DeFi and Tradfi continue to set the pace for the blockchain's next phase of development and acceptance, data requirements will inevitably expand tremendously.

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