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Guides for AI and data leaders.
225 articles on building modern data and AI platforms.
What Is Change Data Capture? A Complete Guide for 2026
Learn how change data capture enables real-time data integration, comparing tools and strategies to future-proof your data architecture in 2026.
5/12/2026Data EngineeringData Engineering Architecture: Reference Design and Patterns
Master the core components of modern data engineering architecture with this expert guide to scalable design patterns, pipelines, and cloud frameworks.
5/12/2026Data EngineeringCommon ELT Mistakes and How to Avoid Them
Learn to identify and fix common ELT mistakes to optimize your data stack. This Izan Technologies guide covers architecture, security, and performance.
5/11/2026Data EngineeringHow Logistics Companies Use Change Data Capture to Cut Costs
Learn how logistics leaders leverage change data capture to reduce cloud costs, optimize fuel consumption, and achieve real-time supply chain visibility.
5/11/2026Data EngineeringApache Iceberg for Retail: Use Cases, Architecture and ROI
Explore how Apache Iceberg transforms retail data engineering with ACID transactions and high-performance analytics. Learn use cases, architecture, and ROI.
5/11/2026Data EngineeringApache Airflow Security and Compliance Guide
Learn how to secure Apache Airflow for enterprise environments. This guide covers RBAC, secrets management, and compliance for modern data pipelines.
5/10/2026Data EngineeringHow Energy Companies Use AWS Glue to Cut Costs
Learn how energy companies leverage AWS Glue to automate ETL, reduce infrastructure overhead, and scale data processing while retaining 100% IP ownership.
5/10/2026Data EngineeringCommon Kafka Mistakes and How to Avoid Them
Learn how to identify and resolve common Kafka performance issues, from partition mismanagement to producer tuning, in this expert Izan Technologies guide.
5/10/2026Data EngineeringMeasuring ETL Success: KPIs That Matter
Learn how to measure ETL performance using essential KPIs. This Izan Technologies guide covers latency, throughput, and data quality metrics for success.
5/10/2026