Explore a 32-minute conference talk from Databricks on leveraging Spark-Jobserver to enhance data integration pipeline execution. Learn how Informatica utilizes Spark-Jobserver's capabilities to solve data visualization challenges for hierarchical data in Big Data pipelines. Discover the benefits of Spark context reuse for faster task execution, integration techniques using REST APIs, and strategies for managing parallel job execution and monitoring. Gain insights into configuring Spark-Jobserver with YARN cluster mode, handling secure SSL-enabled clusters, and managing multiple Spark-Jobserver instances. Delve into topics such as concurrent job execution, dependency resolution, and the journey of adopting Spark-Jobserver in a data integration product.