A&T Systems AWS Data Lake Discovery & Assessment
To review Customers business goals, expected outcomes and success metrics for a Data Lake implementation
Overview
- A phased approach help identify key business outcomes and provide the ability to pivot based on business needs.
- Enable the business to leverage various computing options on the same data on S3.
- Decouple compute from storage to enable scalability without the burden of additional cost.
- Increase elasticity without increasing licensing burden.
- Increase the speed at which new data can be added to the platform and provisioned to end users.
- Repeatable Framework for different data ingestion with the goal of low to zero data ingestion engineering.
- Encryption and Tokenization for PII and Sensitive information.
- Provide the ability for self-service to the data lake leveraging a searchable catalog.
- Provide the ability for integration into an MDM hub.
- Logging/Monitoring for ability to audit actions in the application.
| Sold by | A&T Systems, Inc. |
| Categories | |
| Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.
Support
This is a Six (6) Weeks engagement for the Data Lake Assessment, Including high level Data Lake architecture and Business Outcome driven Data Lake strategy, high level architecture including migration/implementation roadmap.
**Roadmap: ***
- Identified use cases for the Data Lake
- Fill out the Data Lake Assessment pre engagement document
- Current state data architecture
- Identified data sources with data classification
- Customer team availability:
- Data Architect ~5 hrs./week
- Data Engineer ~5 hrs./week
- Security Engineer ~2 hrs./week
- Infrastructure Engineer ~2hrs./week
Please contact A&T Systems Cloud division - sales@ats.com, or 240-705-7830