# Deep Dive On Workflows Day 3 Lecture

> Explore the intricacies of orchestration in Databricks with a focus on workflows, particularly for structured streaming using Spark and Kafka. This session covers the advantages of Databricks workflows over traditional orchestration tools, emphasizing cost efficiency and unified management. Learn h…

- Web page: https://www.dataexpert.io/lesson/deep-dive-on-workflows-day-3-lecture-jan2025-p736-l822
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Week 4: Structured Streaming with Spark & Kafka
- Access: Requires enrollment in DataExpert
- Length: 11 min video
- Skills: MLOps, ETL/ELT, Apache Spark, Airflow, dbt, Data Warehousing, AWS, Azure, GCP
- Academy: DataExpert.io Academy

## About this lesson

Explore the intricacies of orchestration in Databricks with a focus on workflows, particularly for structured streaming using Spark and Kafka. This session covers the advantages of Databricks workflows over traditional orchestration tools, emphasizing cost efficiency and unified management. Learn how to implement Delta Live Tables for data quality tracking and monitor task execution, making it ideal for data engineers and data scientists looking to streamline their data processing pipelines.

## Navigation

- Previous lesson: [Spark Structured Streaming Day 2 Lab](https://www.dataexpert.io/lesson/spark-structured-streaming-day-2-lab-jan2025-p736-l817.md)
- Next lesson: [Deep Dive On Workflows Day 3 Lab](https://www.dataexpert.io/lesson/deep-dive-on-workflows-day-3-lab-jan2025-p736-l823.md)