It is an open-source, AI-powered chat-based data engineering tool designed to simplify and accelerate the creation, management, and optimization of data pipelines using natural language processing (NLP).
It is an open-source, AI-powered chat-based data engineering tool designed to simplify and accelerate the creation, management, and optimization of data pipelines using natural language processing (NLP). Ask On Data enables users, regardless of technical expertise, to perform data engineering tasks such as data integration, cleaning, transformation, and analysis through an intuitive chat interface. By eliminating the need for coding, it democratizes data engineering, making it accessible to non-technical users, data professionals, and businesses of all sizes.
Ask On Data leverages fine-tuned large language models (LLMs) to interpret plain English commands and convert them into actionable data pipelines. Users can interact with the platform conversationally, creating end-to-end pipelines, scheduling jobs, and previewing data transformations in real time. The tool supports various data sources, including databases, APIs, flat files, data lakes, and data warehouses, and offers advanced controls through SQL, Python, and YAML for handling edge cases.
Key features include a managed service model for cloud deployment, undo functionality, action history tracking, and cost-effective pipeline creation with over 80% savings compared to traditional tools. It also supports job scheduling with options for full load, incremental load, and truncate-and-load operations. Built on Python and React, with technologies like Apache Spark, Langchain, and Airbyte, Ask On Data ensures fast, scalable, and efficient data engineering workflows.
Ask On Data is ideal for data scientists, ML/AI engineers, BI users, analysts, and businesses seeking to streamline data workflows without technical hurdles. Its open-source nature allows for self-hosting, while enterprise versions offer additional features and support. The platform is set to revolutionize data engineering by combining accessibility, speed, and innovation, empowering users to unlock the full potential of their data effortlessly.
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