Sold by: BlueYeti Modern Data Stack COE
Maximize your AWS environment’s performance, scalability, and cost-efficiency by harnessing the full suite of AWS services. The BlueYeti AWS Optimization and Snowflake Efficiency Assessment is a comprehensive, collaborative engagement designed to identify architectural gaps, streamline operations, and ensure your AWS-powered Data Warehouse, Data Lake, and Application Layer—integrated with Snowflake—run like a well-oiled machine.
Overview
We evaluate your full architecture through the power of AWS solutions, ensuring Snowflake operates at peak efficiency from ingestion to action:
🔍 Day 1: Kickoff and Discovery
Current State Analysis – Deep dive into your AWS infrastructure, focusing on AWS CloudFormation, AWS Control Tower, and AWS Service Catalog to assess governance, with Snowflake seamlessly integrated.
Data Pipeline and Integration Review – Analyze ingestion flows driven by AWS Glue, Amazon Kinesis, AWS DataSync, and AWS Transfer Family to ensure smooth, secure data movement into Snowflake.
Performance and Scalability Review – Optimize compute resources with Amazon EC2, AWS Auto Scaling, and Elastic Load Balancing (ELB) to power high-throughput workloads and minimize latency across your AWS and Snowflake ecosystem.
Cost Management and Optimization – Identify savings using intelligent storage tiering across Amazon S3 while optimizing Snowflake usage in tandem.
🔍 Day 2: Gap Analysis and Optimization Recommendations
Gap Analysis – Detect inefficiencies in your AWS and Snowflake integration stack using Amazon CloudWatch, AWS X-Ray, and AWS Trusted Advisor for proactive insights.
Best Practices and Optimization Techniques – Recommend architectural improvements for Snowflake, leveraging AWS tools like AWS Glue Data Catalog for metadata management and AWS Step Functions for orchestration.
Security and Compliance Review – Evaluate protection measures across AWS Key Management Service (KMS), AWS Secrets Manager, AWS Identity and Access Management (IAM), and Amazon Macie to safeguard sensitive Snowflake workloads.
🔍 Day 3: Implementation Roadmap
Roadmap and Implementation Plan – Define clear phases, roles, and deliverables anchored in AWS infrastructure best practices to ensure Snowflake scales efficiently and securely.
📊 Deliverables You Can Take to the Boardroom:
Current State Assessment Report – Detailed AWS infrastructure insights, Snowflake architecture analysis, and data pipeline review.
Gap Analysis Report – Focused inefficiency detection with prioritized remediation strategies. Best Practices and Optimization Guidelines – Covering ingestion, transformation, analytics, and resource utilization with AWS driving the engine behind Snowflake.
Security and Compliance Review – Reinforce access and encryption controls with AWS-native solutions.
Implementation Roadmap – A phased improvement plan built on AWS architecture standards, ensuring Snowflake remains optimized.
Executive Presentation – Visual, actionable, and ready for leadership signoff.
Highlights
- **Performance Enhancement**: By analyzing and optimizing query performance and data processing workflows, organizations can achieve faster data retrieval and handling, leading to quicker insights and decision-making.
- **Scalability**: The assessment ensures that your AWS + Snowflake setup can efficiently handle increasing volumes of data and growing user demands without performance degradation.
- 🎯 Perfect For: Teams seeking peak performance from Snowflake on AWS. Enterprises scaling AI, machine learning, and analytics across large data workloads. Organizations needing control over compute costs, security, and governance.
Details
Delivery method
Deployed on AWS
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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.
Legal
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Support
Vendor support
During the 3-day AWS + Snowflake Architecture Efficiency Assessment, customers can expect comprehensive technical support in several key areas:
- Current State Analysis: In-depth review of the existing AWS + Snowflake architecture, data workflows, and processes, including discussions with key stakeholders and technical personnel.
- Data Pipeline and Integration Review: Assessment of data ingestion processes, transformation workflows, data cataloging, governance practices, and analytics workflows.
- Performance and Scalability Review: Analysis of query performance, optimization strategies, data partitioning, clustering practices, and the utilization of AWS & Snowflake features like materialized views, caching, and auto-scaling.
- Cost Management and Optimization: Examination of current cost management strategies, analysis of storage and compute costs, analysis of licensinfg costs for key peripherals and identification of opportunities for cost savings.
- Gap Analysis and Improvement Recommendations: Identification of gaps in the current architecture, prioritization of improvement areas, and recommendations on best practices and optimization techniques.
- Security and Compliance Review: Evaluation of data security practices, compliance measures, recommendations for improving data access controls and encryption, and discussions on audit and monitoring practices.
- Roadmap and Implementation Plan: Development of a phased implementation plan for recommended improvements, assignment of roles and responsibilities, definition of key milestones, and discussion of next steps and timelines.
- Final Review and Next Steps: Final review of the roadmap and implementation plan, discussion of next steps, timelines, and an open floor for final questions and feedback.
Support can be reached at: support@blueyeti.us or +1 650 781-9384.
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