📐 Modern Data Platform Blueprint

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)