Data Engineering
Data engineering guides covering data pipelines, ETL/ELT, data warehousing, streaming, Spark, Airflow, and building reliable data infrastructure.
Learning Path — 18 articles
1
Data Engineering: Building Reliable Data Pipelines at Scale
Learn data engineering foundations — ETL vs ELT, batch and stream processing, data warehousing, orchestration, quality …
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2
ETL Pipelines: Building Reliable Data Workflows at Scale
ETL Pipelines: Building Reliable Data Workflows at Scale. An accessible introduction to etl pipelines guide, exploring …
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3
Streaming Data with Apache Kafka: Real-Time Pipelines Guide
Streaming Data with Apache Kafka: Real-Time Pipelines Guide. A practical guide to streaming data kafka guide, covering …
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4
Data Warehousing: Architecture, Design, and Cloud Options
Data Warehousing: Architecture, Design, and Cloud Options. A practical guide to data warehousing guide, covering key …
5
Data Orchestration with Apache Airflow: Complete Guide
Data Orchestration with Apache Airflow: Complete Guide. A practical guide to data orchestration airflow guide, covering …
6
Analytical SQL: Window Functions, CTEs, and Query Optimization
Analytical SQL: Window Functions, CTEs, and Query Optimization. A practical guide to sql analytical processing guide, …
7
Data Quality Testing: Ensuring Reliable Data Pipelines
Data Quality Testing: Ensuring Reliable Data Pipelines. Build your understanding of data quality testing guide with …
8
Modern Data Stack and Lakehouse Architecture Explained
Modern Data Stack and Lakehouse Architecture Explained. Build your understanding of modern data stack guide with clear …
9
Apache Spark Guide: Distributed Data Processing at Scale
Apache Spark Guide: Distributed Data Processing at Scale. A straightforward look at apache spark guide, covering what …
10
dbt Guide: Analytics Engineering for Modern Data Teams
dbt Guide: Analytics Engineering for Modern Data Teams. Build your understanding of dbt guide with clear explanations …
11
Data Modeling Guide: Dimensional Design for Analytics
Data Modeling Guide: Dimensional Design for Analytics. Learn what you need to know about data modeling guide: core …
12
Data Lakes: Architecture, Governance, and Best Practices
Data Lakes: Architecture, Governance, and Best Practices. A practical guide to data lakes guide, covering key concepts, …
13
Data Pipeline Monitoring and Observability
Learn data pipeline monitoring — observability pillars, metrics, monitoring tools, alerting, lineage tracking, and …
14
Data Security and Governance Guide for Data Engineers
Data Security and Governance Guide for Data Engineers. A practical guide to data security governance guide, covering key …
15
Data Ingestion Guide
Learn data ingestion — batch vs streaming ingestion, API ingest, database connectors, change data capture, file …
16
Data Transformation Guide
Learn data transformation — SQL vs Python transformations, dbt models, data cleansing, feature engineering, and …
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17
Data Lakehouse Architecture Guide
Learn data lakehouse architecture — combining data lake and warehouse, Delta Lake, Apache Iceberg, ACID transactions, …
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18
Data Catalog and Discovery Guide
Learn data catalog and discovery — metadata management, data lineage, data discovery tools, cataloging best practices, …
Advanced