Building Scalable Data Warehouses
Chapter 1: MPP Architecture and Storage Internals
Massively Parallel Processing Fundamentals
Decoupling Compute and Storage
Columnar Storage Formats and Compression
Micro-partitioning and Metadata Management
Hands-on practice: Inspecting Storage Profiles
Chapter 2: Advanced Data Modeling at Scale
Dimensional Modeling Constraints in Big Data
Data Vault 2.0 Implementation Patterns
Handling Semi-Structured Data
Schema Evolution and Versioning
Hands-on practice: Designing a Data Vault
Chapter 3: High-Throughput Ingestion Pipelines
Change Data Capture Architectures
Idempotency in Data Pipelines
Micro-batch vs Streaming Ingestion
Handling Late Arriving Data
Hands-on practice: Building a CDC Pipeline
Chapter 4: Query Optimization and Performance Tuning
Analyzing Query Execution Plans
Partition Pruning and Clustering Keys
Join Strategies: Broadcast vs Shuffle
Materialized Views and Caching Layers
Hands-on practice: Tuning High-Latency Queries
Chapter 5: Governance, Security, and Observability
Role-Based Access Control Hierarchies
Dynamic Data Masking and Tokenization
Row-Level Security Implementation
Resource Monitoring and Cost Control
Hands-on practice: Configuring Security Policies
Idempotency in Data Pipelines
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- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann, 2017 (O'Reilly Media) - A fundamental resource for distributed systems, offering a detailed explanation of message queuing, transaction processing, and the implementation of idempotent operations for robust data processing.
- Apache Kafka Documentation: Semantics, The Apache Software Foundation, 2024 - Official documentation clarifying delivery semantics in Apache Kafka, distinguishing between 'at-least-once' and 'exactly-once' and providing context for achieving idempotency in data ingestion pipelines.
- MERGE, Snowflake Inc., 2024 - Snowflake's official documentation for the SQL MERGE statement, essential for implementing upsert logic in idempotent data loads and the Staging-Merge pattern in MPP data warehouses.
- Delta Lake, The Linux Foundation, 2024 - Introduces the open-source Delta Lake project, which provides ACID transactions, scalable metadata handling, and the ability to implement advanced idempotent patterns like Write-Audit-Publish (WAP) using zero-copy cloning.
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