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Home»TRADING NEWS»Space and Time launches Python data operations for seamless data migration.
TRADING NEWS

Space and Time launches Python data operations for seamless data migration.

By Crypto FlexsJanuary 17, 20244 Mins Read
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Space and Time launches Python data operations for seamless data migration.
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SQL-based services allow for seamless data migration in and out of Space and Time and provide the foundation for more complex businesses across the DeFi ecosystem.

AI-powered data house Space and Time has announced Python Data for Jobs to provide seamless data migration for businesses and startups on Web 3. The latest developments aim to accelerate the process of seamlessly moving data in and out of Space and Time with its help. AI SQL in Houston. The beta version is currently live on Space and Time Studio.

Python Data for Jobs, which launched Proof of SQL last August, a tool that allows smart contracts to cryptographically retrieve and process data using SQL, is looking to extend its capabilities to Web 3 businesses through long-running Python jobs. Aim. This first-of-its-kind innovation will solve the tedious process of developers writing Python scripts to extract, transform, and load data into the platform. This platform leverages Python (used by many data engineers) to extract, transform, and load data without writing any code. Second, the platform accurately connects long-running Python tasks to smart contracts, ensuring that data is not tampered with.

Simply put, Python Data for Jobs allows users and developers to seamlessly import data into and out of the Space and Time platform through Houston, an AI-powered SQL service. The AI ​​SQL service allows users to write natural language prompts, convert the prompts into SQL queries, and return results. Currently in beta, Houston can be used to create and prepare simple ETL (extract, transform, load) scripts from a Web2 database or Web3 distributed storage platform and then load them into Space and Time.

Houston then creates a script to connect to PostgreSQL (e.g. Snowflake or IPFS), understand the contents of the database, convert it, create tables in Space and Time, and load them from PostgreSQL into Space and Time one row at a time. do. . This replaces the need to code Python scripts and only requires completing simple natural language commands.

Additionally, Python Data for Jobs allows you to import processed data from Space and Time directly into smart contracts. Space and Time is building a zero-knowledge (ZK) proof architecture that guarantees data tampering. However, the service currently uses optimistic security (similar to optimistic rollup) to ensure the speed and security of data migration across platforms.

When a user executes a Python data operation in space and time, the input, output, and the code itself are all hashed onto the main chain. The script is run only once, and if the results are not as expected, the user can request proof and Space and Time will cryptographically prove what was executed. Rather than proving it in real time through redundant computation and consensus, the platform executes it only once and hashes all metadata to create a tamper-resistant audit trail, incentivizing node operators not to tamper with execution.

Various use cases for Python data for recruiting

Python Data for Jobs is a major development in the world of decentralized finance (DeFi) for businesses looking to collect massive amounts of data over long periods of time. By simply querying Houston and giving it access to the source database, the AI ​​SQL service can generate a Python script that retrieves the information, pulls the data, and replicates it to Space and Time. Efficiently handle tasks requiring large amounts of data and prepare solutions for aggregation.

In addition to seamless data migration, Python Data for Jobs is also important for allowing complex off-chain calculations, such as predicting future token prices, a critical feature for Web 3 exchanges and lending platforms. Python Data for Jobs allows DeFi protocols to integrate sophisticated financial models with optimistic security into smart contracts in Dapps. This allows DeFi protocols to leverage more complex business logic, opening up a wealth of new use cases for blockchain technology.

Disclaimer: This article is provided for informational purposes only. It is not provided or intended to be used as legal, tax, investment, financial or other advice.

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