AWS Data Lake and Analytics Workshop: POC and MVP Design

Overview Organizations know they need to modernize their data and analytics capabilities on AWS but lack a structured path from business challenge to architecture. Adastra's AWS data lake and analytics workshop provides that path through a two-stage engagement: a complimentary 90-minute Art of the Possible session that introduces AWS data and analytics capabilities, followed by a 1-to-2-day immersive design session that translates your specific business challenges into a concrete proof of concept and minimum viable product proposal with a defined AWS architecture and project roadmap.

Approach Adastra leads an interactive workshop combining presentations, live demos, and collaborative design sessions. The Art of the Possible session covers key AWS data and analytics topics to ground participants in what is achievable on the platform. The design session then shifts to the client's specific goals, stakeholders, and use cases, with Adastra guiding the group through use case identification, architecture definition, and roadmap planning. The output is a focused, actionable proposal the client can move forward with immediately.

Activities

• Overview of Adastra's AWS Practice and AWS data and analytics capabilities.
• Introduction to data analytics on AWS including key services and best practices.
• Building a data lake on AWS, covering architecture patterns and design principles.
• Data ingestion and processing strategies on AWS.
• Data management services overview.
• Analytics and data science capabilities on AWS.
• Security and compliance considerations for AWS data platforms.
• Live demo of AWS data and analytics services.
• Deep dive on client goals, objectives, and target use cases.
• Recommendations on high-impact use cases for initial POC and MVP.
• Recommendations on target AWS architecture to support identified use cases.

Deliverables

• Recommendations on high-impact use cases to target for a pilot implementation.
• Target AWS architecture recommendation aligned to prioritized use cases.
• Proof of concept proposal for a one-week pilot engagement.
• Minimum viable product proposal for a two-to-three-month implementation.
• Defined MVP features, architecture design, and project plan.

Outcomes

• Improved understanding of the AWS data and analytics ecosystem and best practices across key domains including data lake architecture, ingestion, processing, analytics, and data science.
• Identification of high-value use cases aligned to business goals, with a prioritized path to pilot implementation.
• Defined sponsor, stakeholders, business challenges, and opportunities documented and aligned across the team.
• A concrete, ready-to-execute proof of concept and MVP proposal with architecture and project plan in hand.

Adastra: Your AWS Partner for Data, AI, and Cloud Adastra is an AWS Premier Consulting Partner with over 25 years of experience delivering data, AI, and cloud solutions across financial services, retail, manufacturing, and distribution. Our AWS data lake and analytics workshops combine deep platform expertise with structured design facilitation to move organizations from uncertainty to a clear, actionable AWS roadmap. Adastra gives data and IT leaders a trusted partner to turn business challenges into production-ready AWS solutions.