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Cloud Data Platform Blueprint

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End-to-end cloud data platform designs: ingestion, storage, processing, serving, and governance layers.

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📁 File Structure 22 files

cloud-data-platform-blueprint/ ├── LICENSE ├── README.md ├── cloudformation/ │ ├── batch-processing.yaml │ ├── data-lake-storage.yaml │ ├── serving-layer.yaml │ └── streaming-ingestion.yaml ├── docs/ │ ├── architecture.md │ ├── data-governance-framework.md │ └── scaling-guide.md ├── examples/ │ ├── athena-queries.sql │ ├── glue-etl-job.py │ └── lake-formation-permissions.json ├── free-sample.zip ├── guide/ │ ├── 01_overview.md │ ├── 02_prerequisites.md │ └── 03_faq.md ├── index.html ├── scripts/ │ ├── cost_estimator.py │ └── data_quality_validator.py └── terraform/ ├── data-lake-foundation.tf ├── governance-layer.tf └── variables.tf

📖 Documentation Preview README excerpt

Cloud Data Platform Blueprint

End-to-end cloud data platform designs covering ingestion, storage, processing, serving, and governance layers — with production-ready IaC templates for AWS.

Overview

This blueprint provides a complete reference architecture and deployable infrastructure for building a modern cloud data platform. It follows the medallion architecture (Bronze/Silver/Gold) with real-time and batch processing paths, comprehensive data governance, and a self-service analytics layer.

Whether you're building a new data platform from scratch or modernizing a legacy data warehouse, this blueprint gives you the IaC templates, processing patterns, and governance framework to deliver production-quality data infrastructure.

What's Included

FileDescription
Infrastructure as Code
cloudformation/data-lake-storage.yamlS3 data lake with medallion zones, lifecycle policies, encryption
cloudformation/streaming-ingestion.yamlKinesis Data Streams + Firehose for real-time ingestion
cloudformation/batch-processing.yamlGlue ETL jobs, crawlers, and job bookmarks for batch pipelines
cloudformation/serving-layer.yamlAthena workgroups, Redshift Serverless, QuickSight config
terraform/data-lake-foundation.tfComplete data lake foundation in Terraform
terraform/governance-layer.tfLake Formation permissions, data catalog, audit logging
terraform/variables.tfShared variables for all Terraform configs
Documentation
docs/architecture.mdFull reference architecture with Mermaid diagrams
docs/data-governance-framework.mdData classification, access control, lineage, quality
docs/scaling-guide.mdScaling strategies for each layer with cost benchmarks
Scripts
scripts/data_quality_validator.pyData quality rules engine with 20+ built-in checks
scripts/cost_estimator.pyData platform cost modeling tool
Examples
examples/glue-etl-job.pySample Glue ETL job (Bronze → Silver transformation)
examples/athena-queries.sqlCommon analytical queries for the Gold layer
examples/lake-formation-permissions.jsonExample Lake Formation permission grants
LICENSEMIT License

Architecture at a Glance


┌─────────────────────────────────────────────────────────────┐
│                      DATA SOURCES                            │
│  Databases  │  APIs  │  IoT Streams  │  Files  │  SaaS     │
└──────┬──────┴───┬────┴──────┬────────┴────┬────┴─────┬─────┘
       │          │           │             │          │
       ▼          ▼           ▼             ▼          ▼
┌─────────────────────────────────────────────────────────────┐
│                    INGESTION LAYER                            │
│  Kinesis Streams  │  Kinesis Firehose  │  AWS DMS  │  SFTP  │
└──────────────────────────┬──────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────┐
│                    STORAGE LAYER (S3)                         │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐                  │
│  │  BRONZE   │→│  SILVER   │→│   GOLD    │                  │
│  │  (Raw)    │  │(Cleansed) │  │(Business) │                  │
│  └──────────┘  └──────────┘  └──────────┘                  │
└──────────────────────────┬──────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────┐

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .sql preview

examples/athena-queries.sql-- ============================================================================= -- Athena Analytical Queries — Gold Layer Examples -- -- These queries demonstrate common analytical patterns for the Gold zone -- of the data lake. They assume: -- - Tables are in the Glue Data Catalog (acme_gold_production database) -- - Data is in Parquet format, partitioned by year/month/day -- - The analyst workgroup has a 10 GB scan limit -- -- Run these in the Athena console or via the AWS CLI: -- aws athena start-query-execution \ -- --query-string "$(cat query.sql)" \ -- --work-group production-analysts \ -- --query-execution-context Database=acme_gold_production -- -- All table names and schemas are examples — adapt to your data model. -- ============================================================================= -- --------------------------------------------------------------------------- -- 1. DAILY REVENUE SUMMARY -- Common dashboard query: total revenue by day and product category. -- Uses partition pruning on year/month for fast execution. -- --------------------------------------------------------------------------- SELECT event_date, product_category, COUNT(DISTINCT order_id) AS total_orders, COUNT(DISTINCT user_id) AS unique_customers, SUM(revenue_amount_usd) AS total_revenue, AVG(revenue_amount_usd) AS avg_order_value, APPROX_PERCENTILE(revenue_amount_usd, 0.5) AS median_order_value FROM gold.daily_orders WHERE _year = '2024' AND _month = '01' GROUP BY event_date, product_category ORDER BY event_date DESC, total_revenue DESC;
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