Back to Insights
Data & Analytics•July 5, 2024•11 min read

Data Lakehouse Architecture: Unifying Lakes and Warehouses

Data lakehouses combine data lake flexibility with warehouse performance using open table formats and modern query engines.

#data-lakehouse#delta-lake#iceberg#data-architecture

Data lakehouses represent a unified architecture combining data lake storage economics with data warehouse query performance. Open table formats like Delta Lake, Iceberg, and Hudi add ACID transactions, schema evolution, and time travel to object storage.

Table Format Selection

Delta Lake integrates tightly with Databricks and Spark ecosystems. Apache Iceberg offers vendor neutrality with growing adoption. Apache Hudi specializes in incremental data processing. All three provide core lakehouse capabilities with different strengths.

  • Delta Lake provides the most mature Spark integration and ecosystem
  • Iceberg offers excellent vendor neutrality and broad engine support
  • Hudi excels at incremental data pipelines and CDC workflows
  • All formats support ACID transactions on object storage
  • Consider existing ecosystem and tooling when selecting formats

Query Performance

Lakehouse query performance approaches traditional warehouses through several mechanisms. File pruning skips irrelevant files using statistics. Compaction consolidates small files improving read efficiency. Z-ordering clusters related data physically. Caching accelerates repeated queries.

Tags

data-lakehousedelta-lakeicebergdata-architectureanalytics

Continue Reading

Data & Analytics

Deploying pgvector in Production: Performance and Scaling Considerations

PostgreSQL's pgvector extension enables vector search within your existing database, but production deployment requires careful tuning for optimal performance.

11 min readData & Analytics

Zero-Downtime Database Migrations: Strategies for Production Systems

Production database migrations require careful planning to maintain service availability while restructuring schemas and migrating data.

10 min readData & Analytics

Data Pipeline Orchestration: Building Reliable Workflows with Airflow

Apache Airflow enables sophisticated data pipeline orchestration, but production deployments require careful design for reliability, monitoring, and scalability.

10 min read