AWS Development for Data Analytics & BI
Expert fractional CTO services combining AWS expertise with deep Data Analytics & BI industry knowledge. Build compliant, scalable solutions that meet Data Analytics & BI-specific requirements.
Why AWS for Data Analytics & BI?
AWS Strengths
- Most comprehensive service offering of any cloud
- Mature and reliable with strong SLAs
- Global presence with regions worldwide
- Strong security and compliance certifications
Data Analytics & BI Requirements
- Data warehousing
- ETL pipelines
- Visualization
- Real-time analytics
AWS Use Cases in Data Analytics & BI
Data lake infrastructure
ETL processing systems
Analytics compute resources
Architecture Patterns for Data Analytics & BI
Pattern 1
Multi-tier application architecture
Pattern 2
Auto-scaling for high availability
Pattern 3
Managed services for reduced operations
Performance
Use CloudFront for static assets, implement proper caching, right-size instances with Compute Optimizer, use Reserved Instances or Savings Plans.
Security
Enable GuardDuty, configure Security Hub, implement WAF, use Secrets Manager, enable CloudTrail, implement proper encryption at rest and in transit.
Scaling
AWS scales to any size. Start simple with managed services, add complexity only as needed. Consider serverless for variable workloads, containers for consistent workloads.
Data Analytics & BI Compliance with AWS
Required Compliance
Implementation Considerations
- Data minimization and purpose limitation
- Right to erasure implementation
- Consent management systems
- Data portability features
Complementary Technologies for Data Analytics & BI
languages
frameworks
databases
Recommended Team Structure
Dedicated DevOps/SRE roles become important at scale. Small teams can share AWS responsibility, larger orgs need platform engineering teams.
Success Story: AWS
Series A SaaS spending $45K/month on AWS
Challenge
AWS costs growing faster than revenue. No visibility into cost drivers. Infrastructure unreliable with frequent outages.
Solution
Fractional CTO audited architecture, implemented right-sizing, restructured to use Reserved Instances, added proper monitoring and auto-scaling.
Result
Reduced monthly AWS costs by 55% to $20K. Improved uptime from 99.2% to 99.95%. Implemented proper disaster recovery.
Timeline: 2 months
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Learn more →Need AWS Expertise for Your Data Analytics & BI Business?
Get expert fractional CTO guidance combining AWS technical excellence with deep Data Analytics & BI industry knowledge and compliance expertise.