# Apache Iceberg: Data Lake Architectures Lecture

> In this lecture, Zach dives into the intricacies of data pipelines, focusing on the differences between warm and cold storage, and how they impact data architecture. He also discusses the importance of pre-aggregating data for low-latency dashboards and the role of Kafka in managing data in motion.

- Web page: https://www.dataexpert.io/lesson/apache-iceberg-lecture-day-2-april2025-p735-l957
- Program: [AnalyticsExpert](https://www.dataexpert.io/program/analytics-expert)
- Module: Week 5: Data Modeling on Iceberg
- Access: Requires enrollment in AnalyticsExpert
- Length: 58 min video
- Skills: Data Modeling, ETL/ELT, Data Warehousing, Cloud Platforms, Databricks, Snowflake, Apache Iceberg, Kafka
- Academy: DataExpert.io Academy

## About this lesson

In this lecture, Zach dives into the intricacies of data pipelines, focusing on the differences between warm and cold storage, and how they impact data architecture. He also discusses the importance of pre-aggregating data for low-latency dashboards and the role of Kafka in managing data in motion.

## Navigation

- Previous lesson: [Apache Iceberg: Partitioning, time travel for RCA and metadata Lab](https://www.dataexpert.io/lesson/apache-iceberg-lab-day-1-april2025-p735-l956.md)
- Next lesson: [Apace Iceberg: Data Compression, Run length encoding Lab](https://www.dataexpert.io/lesson/apache-iceberg-lab-day-2-april2025-p735-l958.md)
