What you would learn in Databricks Data Science and Engineering: Basic Tools and Infrastructure course?
Making robust and efficient large-scale data apps requires a properly configured environment. For the Databricks platform, this means setting up various assets like notebooks, clusters, and repos to maximize the benefits of the system and to make analysis and development operations as smooth as they can be.
Students will discover precisely how this can be achieved through this class, Databricks Data Science and Engineering Essential Instruments and infrastructure.
In the beginning, you'll create and use clusters and tables, files, and notebooks. You'll also look at how these can be used to create and run a basic application.
After that, you'll be introduced to using the Databricks repository, which allows us to keep track of changes to notebooks and related files within a workspace and be linked to another External Git repository. You'll then explore how this linking is done and discover how file modifications, additions, and removals are made and displayed in reports.
In the end, you'll get to jobs that are the task's execution using Databricks and how the execution of jobs can be set up and scheduled as well as how notifications at different stages of a task can be given.
Once you've completed the course, you'll be equipped with the skills and understanding of Databricks resources like notebooks, clusters, repos and jobs, and their configurations. This will allow you to create a Databricks environment optimized for creating and running applications, and it will assist you in getting the most from your data.
Course Content:
Course Overview 2mins
Managing Databricks Workspace Assets 42mins
Developing Applications Using Notebooks 38mins
Configuring and Managing Job Executions 26mins
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