Introduction to Data Lake Architectures
Chapter 1: Architectural Foundations
Decoupling Compute and Storage
Object Storage Semantics
The Medallion Architecture
Lambda and Kappa Architectures
Chapter 2: File Formats and Optimization
Row-Oriented vs Columnar Storage
Apache Parquet Internals
Open Table Formats
Compression Algorithms
Partitioning Strategies
Hands-on Practical: Optimizing File Layouts
Chapter 3: Ingestion Pipelines
Batch Ingestion Workflows
Change Data Capture (CDC)
Handling Schema Evolution
The Small File Problem
Idempotency in Pipelines
Hands-on Practical: Building a CDC Pipeline
Chapter 4: Metadata and Cataloging
The Role of the Metastore
Partition Discovery
Technical Governance
Data Lineage Implementation
Hands-on Practical: Configuring a Catalog
Chapter 5: Querying and Performance
Distributed Query Engines
File Pruning and Skipping
Vectorized Query Execution
Caching Strategies
Hands-on Practical: Query Analysis
Chapter 5: Querying and Performance
Sections
5.1 Distributed Query Engines
5.2 File Pruning and Skipping
5.3 Vectorized Query Execution
5.4 Caching Strategies
5.5 Hands-on Practical: Query Analysis
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