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Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and core modules.
- The role of Rocket and Intelligence in the data lifecycle.
- Logging in and navigating the Stratio user interface.
Working with the Rocket Module
- Data ingestion and pipeline creation.
- Connecting data sources and configuring transformations.
- Utilizing PySpark for preprocessing tasks in Rocket.
PySpark Essentials for Stratio Users
- Understanding PySpark data structures and operations.
- Implementing looping constructs: for, while, and if/else statements.
- Writing custom functions using 'def' and applying them effectively.
Advanced Usage of Rocket with PySpark
- Streaming ingestion and transformations.
- Applying loops and functions in both batch and real-time scenarios.
- Best practices for optimizing performance in PySpark pipelines.
Exploring the Intelligence Module
- Overview of data modeling and analysis features.
- Feature selection, transformation, and exploration techniques.
- The role of PySpark in enabling custom analytics and insights.
Building Advanced Analytics Workflows
- Creating user-defined functions (UDFs) within the Intelligence module.
- Applying conditionals and loops for complex data logic.
- Practical use cases: segmentation, aggregation, and prediction.
Deployment and Collaboration
- Saving, exporting, and reusing workflows.
- Collaborating with team members on the Stratio platform.
- Reviewing output and integrating with downstream tools.
Summary and Next Steps
Requirements
- Proficiency in Python programming.
- Fundamental understanding of data analytics or big data processing concepts.
- Basic knowledge of Apache Spark and distributed computing principles.
Target Audience
- Data engineers operating on Stratio-based platforms.
- Analysts or developers utilizing the Rocket and Intelligence modules.
- Technical teams transitioning to PySpark workflows within the Stratio ecosystem.
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
