📐 Modern Data Platform Blueprint
A comprehensive architecture guide for deploying Datorth across multi-cloud environments. This blueprint covers infrastructure design, security patterns, and operational best practices for enterprise-scale deployments.
Overview
The Modern Data Platform Blueprint provides a proven reference architecture for organizations modernizing their data infrastructure with Datorth. This guide distills lessons learned from 150+ enterprise deployments into actionable patterns and best practices.
What's Included
- Reference Architecture Diagrams — Complete infrastructure designs for AWS, Azure, GCP, and hybrid deployments
- Infrastructure-as-Code Templates — Terraform modules and CloudFormation templates for automated provisioning
- Security & Compliance Patterns — Encryption, access control, and audit configurations for regulated industries
- Sizing & Capacity Guidelines — Workload-based recommendations for compute, storage, and networking
- Operational Runbooks — Day-2 procedures for monitoring, scaling, and incident response
Architecture Layers
1. Data Ingestion Layer
Connect to source systems with minimal impact on operational workloads.
- Change Data Capture (CDC) patterns for databases
- API and webhook connectors for SaaS applications
- IoT and edge data collection architectures
- Batch file ingestion with schema inference
2. Processing & Transformation Layer
Unified compute fabric for batch, streaming, and interactive workloads.
- Stream processing with Apache Flink and Spark Structured Streaming
- Batch ETL with dbt and Spark SQL
- Real-time feature engineering for ML pipelines
- Data quality validation and anomaly detection
3. Storage & Catalog Layer
Unified metadata management across data lakes and warehouses.
- Lakehouse architecture with Delta Lake, Iceberg, or Hudi
- Data warehouse integration (Snowflake, BigQuery, Redshift)
- Unified data catalog with business glossary
- Automated data lineage tracking
4. Governance & Security Layer
Policy-driven controls across the entire data lifecycle.
- Attribute-based access control (ABAC)
- Column-level encryption and dynamic masking
- Data classification and sensitivity tagging
- Compliance automation for GDPR, HIPAA, SOX
5. Consumption & Activation Layer
Serve data to analytics, applications, and AI/ML workloads.
- BI tool integration (Tableau, Power BI, Looker)
- API gateway for data products
- Feature store for ML model serving
- Reverse ETL for operational systems
Multi-Cloud Deployment Patterns
Single Cloud
Optimized for organizations standardized on a single cloud provider. Leverages native services for cost efficiency and operational simplicity.
Multi-Cloud Active-Active
Run workloads across multiple clouds simultaneously for vendor independence and geographic distribution. Includes cross-cloud data synchronization patterns.
Hybrid Cloud
Connect on-premises data centers with cloud resources. Supports data residency requirements and phased migration strategies.
Security & Compliance
- Zero-trust network architecture
- Encryption at rest and in transit (AES-256, TLS 1.3)
- Customer-managed encryption keys (BYOK)
- SOC 2 Type II certified infrastructure
- HIPAA BAA and GDPR DPA available
Getting Started
This blueprint is available as a downloadable PDF with accompanying infrastructure-as-code templates. Our solutions architects can also guide you through a customized implementation plan.
Prerequisites
- Cloud provider account(s) with appropriate permissions
- Familiarity with Terraform or CloudFormation
- Understanding of networking and security concepts
- Datorth platform license (contact sales for evaluation)
Ready to build your modern data platform?
Download the complete blueprint or schedule a session with our solutions architects.
Request blueprint access ← Back to Resources