Space and Time Launches Python Data Jobs For Seamless Data Migration

AI-powered data house Space and Time announces its Python Data for Jobs, to provide seamless data migration for businesses and startups in Web 3. The latest development aims to accelerate the process of getting data into and out of Space and Time seamlessly with the help of its AI SQL, Houston. The beta version is currently live on the Space and Time Studio.

Having launched its Proof of SQL, a tool that allows a smart contract to retrieve and process data with SQL in a cryptographic way, last August, Python Data for Jobs aims to extend its capabilities to Web 3 businesses with long-running Python jobs. This first-of-its-kind innovation will solve the tedious process of developers creating Python scripts to extract, transform and load data to their platforms. The platform leverages Python (used by many data engineers) to extract, transform and load data, without writing any code. Secondly, the platform also connects long-running Python jobs to smart contracts accurately, ensuring no data has been tampered with.

Simply, Python Data for Jobs allows users and developers to seamlessly get data into and out of the Space and Time platform, via its AI-powered SQL service, Houston. The AI SQL service allows users to write a natural language prompt, converts the prompt into an SQL query and returns the result. Houston, currently in beta, can be used to generate simple extract, transform, load (ETL) scripts from Web2 databases or Web3 decentralized storage platforms, prep it, and load it into Space and Time.

Afterwards, Houston creates a script that connects to PostgreSQL (or Snowflake or IPFS, as examples), understands what’s in the database, transforms it, creates tables in Space and Time and loads one row at a time out of PostgreSQL and into Space and Time. This replaces the need to code Python scripts, only requiring a s

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Author: CryptoDaily

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