DevOps Essentials for Data Engineering
This course explores software engineering best practices and DevOps principles, specifically designed for data engineers working with Databricks. Participants will build a strong foundation in key topics such as code quality, version control, documentation, and testing. The course emphasizes DevOps, covering core components, benefits, and the role of continuous integration and delivery (CI/CD) in optimizing data engineering workflows.
You will learn how to apply modularity principles in PySpark to create reusable components and structure code efficiently. Hands-on experience includes designing and implementing unit tests for PySpark functions using the pytest framework, followed by integration testing for Databricks data pipelines with Spark Declarative Pipeline and Jobs to ensure reliability.
The course also covers essential Git operations within Databricks, including using Databricks Git Folders to integrate continuous integration practices. Finally, you will take a high level look at various deployment methods for Databricks assets, such as REST API, CLI, SDK, and Declarative Automation Bundles (DABs), providing you with the knowledge of techniques to deploy and manage your pipelines.
By the end of the course, you will be proficient in software engineering and DevOps best practices, enabling you to build scalable, maintainable, and efficient data engineering solutions.
Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.
Languages Available: English | 日本語 | Português BR | 한국어 | Español | française
In this course, the content was developed for participants with these skills/knowledge/abilities:
• Proficient knowledge of the Databricks platform, including experience with Databricks Workspaces, Apache Spark, Delta Lake and the Medallion Architecture, Unity Catalog, Delta Live Tables, and Workflows. A basic understanding of Git version control is also required.
• Experience ingesting and transforming data, with proficiency in PySpark for data processing and DataFrame manipulations. Additionally, candidates should have experience writing intermediate level SQL queries for data analysis and transformation.
• Knowledge of Python programming, with proficiency in writing intermediate level Python code, including the ability to design and implement functions and classes. Users should also be skilled in creating, importing, and effectively utilizing Python packages.
Outline
Continuous Integration (CI)
• Introduction to Software Engineering (SWE) Best Practices
• Introduction to Modularizing PySpark Code
• Demo: Modularizing PySpark Code - REQUIRED
• Lab: Modularize PySpark Code
• DevOps Fundamentals
• The Role of CI and CD in DevOps
• Planning the Project
• Demo: Project Setup Exploration
• Introduction to Unit Tests for PySpark
• Demo: Creating and Executing Unit Tests
• Lab: Create and Execute Unit Tests
• Executing Integration Tests with SDP and Jobs
• Demo: Performing Integration Tests
• Version Control with Git Overview
• Lab: Version Control with Databricks Git Folders and GitHub
Continuous Deployment (CD)
• Deploying Databricks Assets Overview
• Demo: Deploying the Databricks Assets
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Nov 06 | 01 PM - 05 PM (Australia/Sydney) | - | English | $750.00 |
Nov 06 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Nov 06 | 09 AM - 01 PM (America/Los_Angeles) | - | English | $750.00 |
Dec 04 | 09 AM - 01 PM (Asia/Kolkata) | - | English | $750.00 |
Dec 04 | 01 PM - 05 PM (Europe/Paris) | - | English | $750.00 |
Dec 04 | 09 AM - 01 PM (America/New_York) | - | English | $750.00 |
Jan 05 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Jan 08 | 09 AM - 01 PM (Asia/Singapore) | - | English | $750.00 |
Jan 08 | 01 PM - 05 PM (America/New_York) | - | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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