Sold by: Adastra Corporation
The Data & Analytics workshop comprises a complimentary 90-minute "Art of the Possible on AWS" session, followed by an immersive 1-to-2-day design session. Our foremost goal throughout the workshop is to cultivate collaboration and collectively address a real-world challenge.
The core aim is to generate innovative ideas and propose either a one-week proof of concept (POC) and two to three-month minimum viable product (MVP) proposal.
Sold by: Adastra Corporation
Overview
Approach:
- Interactive workshops including Adastra-led presentations and demos on data workflows in AWS
- Recommendations on high-impact use cases to target for initial POC/MVP
- A deep dive on customer goals, objectives and target use cases
- Recommendations on target AWS architecture to support target use cases
Activities: The session will cover:
- An overview of Adastra’s AWS Practice
- An introduction to data analytics on AWS
- Building a data lake on AWS
- Data ingestion and processing
- Data management services
- Analytics and data science
- Security and compliance
- A live demo
Outcomes:
- Improved understanding of the AWS ecosystem and data & analytics best practices
- Identification of high-value use cases to target for a pilot implementation
Clients will be able to:
- Identify the sponsor
- Identify the key stakeholders
- Identify challenges/business cases
- Identify opportunities
- Define business goals
- Define the MVP features
- Define the MVP architecture
- Define the project plan
Highlights
- 90-minute "Art of the Possible on AWS" session
- 1-2-day design workshop targeted on specific business use cases and an architecture/roadmap for a pilot implementation
- Expert Adastra resources to provide guidance on AWS best practices and high-impact solution areas in your target industry
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Vendor support
Adastra offers a myriad of solutions from Cloud Migration and Analytics to Data Science and Governance as an Advanced Consulting Partner of AWS, including but not limited to:
Data Discovery & Analytics Data Quality Artificial Intelligence Machine Learning Data Lake Build Data Engineering
Learn more about Adastra:
Contact us today for a review of your requirements