Automate workloads with Azure Databricks Jobs
|
Learn how to orchestrate and schedule data workflows with Azure Databricks Jobs. Define and monitor complex pipelines, integrate with tools like Azure Data Factory and Azure DevOps, and reduce manual intervention, leading to improved efficiency, faster insights, and adaptability to business needs.
Implement job scheduling and automation., Optimize workflows with parameters., Handle dependency management., Implement error handling and retry mechanisms., Explore best practices and guidelines.
Prerequisites
Before starting this module, you should have a fundamental knowledge of data analytics concepts. Consider completing Azure Data Fundamentals certification before starting this module.
User Reviews
Be the first to review “Automate workloads with Azure Databricks Jobs”
Related Products
Data Engineering with Microsoft Azure
Explore data engineering concepts on Microsoft Azure’s cloud platform.
Data lakes and Lakehouses with Spark and Azure Databricks
Learn to manage and process data using Spark and Azure Databricks platforms.
Organizational Privacy Engineering
Explore organizational approaches to designing privacy-aware systems and frameworks for data governance.
Transform data with Spark in Azure Synapse Analytics
Data engineers commonly need to transform large volumes of data. Apache Spark pools in Azure Synapse Analytics provide a distributed processing platform that they can use to accomplish this goal.
Data Pipelines with Azure
Build scalable data pipelines using Microsoft Azure tools.
Perform data engineering with Azure Synapse Apache Spark Pools
Apache Spark is a highly scalable distributed processing solution for big data analytics and transformation. You can leverage its power in Azure Synapse Analytics by using Spark pools.
There are no reviews yet.