Pachyderm (en)
Master the art of data versioning and pipeline management with our Pachyderm course. Learn to install, configure, and operate Pachyderm for scalable data processing and analysis. Explore topics such as pipeline creation, OpenCV integration, and efficient data flow management. Whether you’re a data engineer or machine learning practitioner, DSAI106 equips you with the tools and techniques to streamline your data workflows and enhance productivity.
CODE: DSAI106
Category: Artificial Intelligence
Teaching methodology
The course includes educational laboratories in which each student will be able to work in order to complete training exercises that will provide practical experience in using the instrument, for each of the topics covered during the course.
Prerequisites
- Understanding basic Linux commands for file management, system navigation, and package installation.
- Basic understanding of Docker concepts.
- Understanding of basic Python concepts.
The following is an overview of course content:
Install Pachyderm: This section guides you through the installation process of Pachyderm, an open-source data versioning and pipeline management tool, ensuring a smooth setup in your environment.
Key Concepts: Explore the fundamental concepts underlying Pachyderm, including data versioning, data lineage, pipelines, and version-controlled data processing.
Pipeline: Learn how to create, manage, and execute pipelines in Pachyderm, enabling you to automate data processing workflows and streamline data transformation tasks.
OpenCV Integration: Dive into integrating OpenCV, a popular computer vision library, with Pachyderm, allowing you to perform advanced image processing and analysis within your data pipelines.
Multimedia Processing: Explore techniques for multimedia processing using Pachyderm, including handling images, videos, and audio data within your data workflows, with a focus on efficient processing and analysis.
Data Stream Management: Understand how to manage data streams effectively in Pachyderm, covering topics such as real-time data ingestion, stream processing, and integration with streaming data sources.
At the end of the course, participants will be able to:
- Install and configure Pachyderm on a Linux system.
- Create and manage data pipelines using Pachyderm for data processing and analysis.
- Use OpenCV for image and video processing in Docker environments.
- Apply transformations and filters to images and videos using OpenCV features.
- Use Pachyderm for efficient data stream management in development and production environments.
- Implement complex data processing workflows using Pachyderm and Docker to achieve scalable and reproducible results.
Duration – 1 day
Delivery – in Classroom, On Site, Remote
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
Language
- Instructor: English
- Workshops: English
- Slides: English
