Knowledge Base
Explore our growing database of data engineering terms, concepts, and technologies.
Agentic Analytics
The next evolution of enterprise data, where autonomous AI agents leverage semantic layers and the data lakehouse to reason, plan, and execute complex analytical workflows without human intervention.
Read DefinitionApache Hudi
A comprehensive guide to Apache Hudi, the open-source data lakehouse storage format from Uber that pioneered incremental data processing and upsert capabilities for streaming workloads on object storage.
Read DefinitionApache Iceberg
The definitive open table format for the data lakehouse, enabling ACID transactions, hidden partitioning, and schema evolution at massive scale.
Read DefinitionApache Parquet
A comprehensive guide to Apache Parquet, the open-source columnar storage format that has become the foundational data file format for modern data lakehouses and analytical processing.
Read DefinitionChange Data Capture (CDC)
A comprehensive guide to Change Data Capture (CDC), the data integration technique that identifies and delivers row-level database changes in real time to downstream analytical systems.
Read DefinitionData Fabric
A comprehensive guide to Data Fabric, the unified architecture that combines data integration, governance, and intelligent automation to connect distributed enterprise data sources into a coherent analytical fabric.
Read DefinitionData Lake
An in-depth exploration of the data lake, from its origins in the Hadoop ecosystem to its role in modern cloud object storage, and its evolution into the governed data lakehouse.
Read DefinitionData Lakehouse
A comprehensive guide to the data lakehouse architecture, bridging the reliability of data warehouses with the scale and flexibility of data lakes, powered by open table formats like Apache Iceberg.
Read DefinitionData Mesh
A comprehensive guide to Data Mesh, a decentralized socio-technical paradigm that shifts data ownership from centralized engineering bottlenecks to distributed business domains.
Read DefinitionData Modeling
A comprehensive guide to data modeling, the discipline of structuring and organizing data to accurately represent business processes and enable efficient analytical querying in data warehouses and lakehouses.
Read DefinitionData Vault Modeling
A comprehensive guide to Data Vault modeling, the enterprise data warehouse methodology developed by Dan Linstedt that uses Hubs, Links, and Satellites to build scalable, auditable, and historically accurate analytical architectures.
Read DefinitionData Warehouse
A deep dive into the data warehouse, the foundational architecture for business intelligence, its history, its strict schema-on-write enforcement, and its evolution into the modern data lakehouse.
Read DefinitionDelta Lake
A comprehensive guide to Delta Lake, the open-source storage layer from Databricks that brings ACID transactions, scalable metadata handling, and data versioning to Apache Spark and the data lakehouse.
Read DefinitionDimensional Modeling (Star Schema & Snowflake Schema)
A comprehensive guide to dimensional modeling, the technique developed by Ralph Kimball for structuring analytical databases into Fact tables and Dimension tables for fast, intuitive business intelligence queries.
Read DefinitionExtract, Load, Transform (ELT)
A comprehensive guide to ELT, the modern inversion of traditional ETL that leverages the computational power of cloud data warehouses and lakehouses to perform transformations after loading raw data.
Read DefinitionExtract, Transform, Load (ETL)
A comprehensive guide to Extract, Transform, Load (ETL), the foundational data integration pattern that has shaped enterprise data pipelines for decades and continues to evolve in the modern lakehouse era.
Read DefinitionKappa Architecture
A comprehensive guide to Kappa Architecture, the stream-first data processing paradigm that eliminates the complexity of Lambda by using a single, replayable event log as the sole source of truth.
Read DefinitionLambda Architecture
A deep dive into Lambda Architecture, the dual-stream data processing pattern that separates batch and real-time processing into distinct layers to deliver both comprehensive historical accuracy and low-latency query results.
Read DefinitionMedallion Architecture
A definitive guide to the Medallion Architecture, a layered data design pattern used to logically organize data in a lakehouse, progressing from raw ingestion to business-ready aggregates.
Read DefinitionSemantic Layer
A deep dive into the semantic layer, the critical architectural component that abstracts physical data complexity into governed, business-friendly logic for unified enterprise analytics and AI.
Read DefinitionSlowly Changing Dimensions (SCD)
A guide to Slowly Changing Dimensions, the patterns for tracking historical attribute changes in data warehouse Dimension tables for accurate analytical reporting.
Read Definition