PurpleCube AI, a unified data orchestration platform, has partnered with Snowflake, the Data Cloud company, to drive data-driven innovation at unprecedented speed and scale by embedding the power of Generative AI directly into the data engineering process.
This approach enables joint customers to unify all data engineering functions on a single platform, automate complex data pipelines, and activate valuable insights efficiently and accurately.
The combined expertise of PurpleCube AI and Snowflake unlocks exciting possibilities:
- Data Orchestration: PurpleCube AI leverages Snowflake as a processing engine for push-down ETL workloads, enabling organizations to achieve data warehouse automation at scale.
- Advanced Exploratory Data Analysis: Data engineers can conduct EDA with multi-dimensional charting solutions, leveraging Snowpark, the Snowflake data lake, and big data output for deeper exploration.
- Data Quality for Superior ML Feature Preparation: PurpleCube AI offers a diverse set of built-in data quality rules, allowing ML engineers to prepare feature sets for the highest accuracy in machine learning algorithms.
- Data Access with English Language Queries: Business and non-technical users can now query and analyze data in plain English using PurpleCube AI‘s capabilities alongside Snowflake‘s data lake, Snowpark, and native SQL functionalities.
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The power of this alliance is already evident in the success stories. Some case studies indicate approximately $1 million in annual savings, 50% increased business decision efficiency, and real-time access to actionable insights.
SOURCE: BusinessWire