Deequ with Apache Spark Pre-configured Stack by Intuz Inc.

As described on AWS Marketplace.

Deequ with Apache Spark Pre-configured Stack offers organizations a comprehensive solution for implementing data quality checks and validation at scale. Built on AWS infrastructure, this AMI comes with Deequ (a powerful data quality library), Apache Spark (distributed computing framework), Jupyter Notebook (for interactive development), PostgreSQL (for storing quality metrics), and a complete Python data science stack pre-installed and configured for immediate use.

Organizations working with big data face significant challenges in maintaining data quality across large datasets. This stack addresses these challenges by combining Deequ's constraint-based quality verification capabilities with Spark's distributed processing power. Teams can immediately start implementing quality checks, generating metrics, and validating datasets without spending weeks on environment setup and configuration. Whether you're a data engineering team, data science group, or enterprise analytics department, this AMI provides the foundation for robust data quality processes.

Highlighted by the publisher on AWS Marketplace.

One-click deployment of a complete data quality environment with Deequ and Apache Spark pre-configured for immediate data validation at scale.

Interactive data quality development with pre-installed Jupyter Notebook, PostgreSQL, and Python data science stack (NumPy, Pandas, Matplotlib, PySpark).

Enterprise-ready data quality solution with seamless AWS integration, optimized for performance and security with zero setup and configuration time.

As stated by the publisher on AWS Marketplace.

Intuz will not refund money in any case.However, you can cancel your subscription any time.