Lakehouse Architecture
Lakehouse Architecture is a concept in architecture. In simple terms, The Lakehouse architecture, formalized by Armbrust et al. (2021), combines the flexibility of data lakes (cheap object storage, diverse data types) with the reliability of data warehouses (ACID transa
Lakehouse Architecture is a concept in architecture. In simple terms, The Lakehouse architecture, formalized by Armbrust et al. (2021), combines the flexibility of data lakes (cheap object storage, diverse data types) with the reliability of data warehouses (ACID transa
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Explain Lakehouse Architecture as if teaching a colleague who is new to architecture. Cover: what it is, how it works, and why it matters.
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Cost Optimization in Data Pipelines: Engineering for Efficiency at Petabyte Scale
Strategies for reducing data pipeline costs: intelligent partitioning, incremental processing, compute auto-scaling, sto
Schema Registry Patterns: Avro, Protobuf, and JSON Schema in Production
Schema Registry Patterns: Avro, Protobuf, and JSON Schema in Production Schema registry architectures enable versioned,
Building a Data Platform on a Budget: The Open Source Stack in 2026
Complete open source data stack: Dagster + dbt + Iceberg + Trino + DuckDB + Superset. Cost analysis against Snowflake an
dbt Mesh: Decentralizing Data Transformation at Enterprise Scale
dbt Mesh architecture: dbt projects as domains, cross-project refs, blue/green deployments for models, and governance th
Delta Lake vs Apache Iceberg vs Apache Hudi: Lakehouse Format Shootout
Head-to-head comparison of the three major lakehouse storage formats: table mutation semantics, time travel, schema evol
Debezium and CDC: Capturing Database Changes at Scale
Change Data Capture with Debezium: connector configuration, schema evolution handling, initial snapshots, and integratio
Apache Iceberg Deep Dive: Table Formats for the Lakehouse Era
How Apache Iceberg enables ACID transactions on data lakes: partitioning, hidden partitioning, time travel, snapshot iso
Real-Time Streaming with Apache Kafka: From Pub/Sub to Event-Driven Architecture
Production patterns for Apache Kafka: topic design strategies, consumer group rebalancing, exactly-once semantics, Kafka
Streaming ETL for Suspicious Activity Reports: Real-Time AML Data Pipelines with Kafka and Flink
Architecture patterns for building real-time AML surveillance data pipelines using Apache Kafka for transaction ingestio
Designing a Production Data Platform: From Requirements to Architecture
Master the full lifecycle of data platform design: requirements gathering, architecture methodology, a fintech case stud
Data Pipeline Patterns: Batch, Streaming, and Event-Driven Architectures
Understand batch processing, stream processing, micro-batch, Lambda vs Kappa architectures, event-driven design with Kaf