# Applying Advanced SQL for Analytical Insights - Repeatable Analyses and State Change Tracking (Day 1 Lecture)

> In this presentation, we explore advanced SQL patterns tailored for analytical insights and intricate data analysis. We cover the significance of repeatable analyses and identify common patterns such as state change tracking.

- Web page: https://julie.techexpert.io/lesson/analytical-patterns-day-1-lecture-v2
- Program: [Data Engineering Boot Camp V2 Combined Track](https://julie.techexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 3: Analytical Patterns & Analysis in Postgres (v2)
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h 2 min video
- Skills: SQL, Data Modeling, ETL/ELT, Data Warehousing
- Academy: Julies academy to catch all other programs

## About this lesson

In this presentation, we explore advanced SQL patterns tailored for analytical insights and intricate data analysis. We cover the significance of repeatable analyses and identify common patterns such as state change tracking.

## Navigation

- Previous lesson: [Spark Batch Processing - Comparing with Hive and MapReduce, Key Components, and Performance Optimization (Day 1 Lecture)](https://julie.techexpert.io/lesson/spark-batch-day-1-lecture-v2.md)
- Next lesson: [Spark Batch Processing - Data Partitioning, Performance Optimization, and Iceberg Tables (Day 1 Lab)](https://julie.techexpert.io/lesson/spark-batch-day-1-lab-v2.md)
