Amazon DataZone Cheat Sheet

• Amazon DataZone is a fully managed data management service by AWS.

• Facilitates cataloging, discovery, sharing, and data governance across AWS, on-premises, and third-party sources.

• Enables organizations to implement a data mesh architecture, promoting decentralized data ownership and self-service analytics.

• Integrates seamlessly with AWS services like Amazon Redshift, Amazon Athena, AWS Glue, and AWS Lake Formation.

Features

• Business Data Catalog: Organizes data assets within the business context, making them easily discoverable.

• Data Products: Groups related data assets into cohesive units for specific business use cases, simplifying access and management.

• Automated Metadata Generation: Utilizes large language models (LLMs) to auto-generate business names and descriptions for data assets.

• Faceted Search: Allows users to search and filter data assets using business terms and metadata.



• Data Lineage: Provides visibility into the data’s origin, transformations, and consumption.

• Governed Data Sharing: Ensures secure and compliant data access across organizational boundaries.

• Fine-Grained Access Controls: Implements row and column-level filters to restrict data access based on user roles.

• Integration with BI Tools: Supports connections with tools like Tableau and Power BI for data visualization.

Use Cases

• Enables users to find and access relevant data assets quickly.

• Empowers business users to analyze data without heavy reliance on IT.

• Ensures compliance and security through controlled data access and auditing.

• Facilitates cross-team collaboration by sharing data assets and insights.

• Supports decentralized data architecture, promoting domain-specific data ownership.

Security

• IAM Integration: Utilizes AWS Identity and Access Management for user authentication and authorization.

• Lake Formation Integration: Leverages AWS Lake Formation for fine-grained data access controls.

• Audit Trails: Provides logging and monitoring capabilities for data access and usage.

• Compliance: Aligns with AWS’s compliance programs to meet regulatory requirements.

Pricing

• Pay-As-You-Go Model: Charges based on resource usage without upfront fees or long-term commitments.

• Free Tier: Offers 20 MB of metadata storage, 4,000 API requests, and 0.2 compute units per month at no cost.

• Pricing Dimensions:

  • Requests: $10 per 100,000 requests.

  • Metadata Storage: $0.4 per GB.

  • Compute: $1.776 per compute unit.

  • Recommendations: $0.015 per 1,000 input tokens and $0.075 per 1,000 output tokens.

• Additional Costs: Users may incur charges for services like Amazon Athena, Amazon Redshift, and Amazon S3 when accessing data through Amazon DataZone.

References:

https://aws.amazon.com/datazone/

https://docs.aws.amazon.com/datazone/latest/userguide/what-is-datazone.html

https://aws.amazon.com/datazone/pricing/