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Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and core modules.
- The critical role of Rocket and Intelligence in the data lifecycle.
- Logging in and navigating the Stratio user interface.
Working with the Rocket Module
- Data ingestion strategies and pipeline creation.
- Connecting data sources and configuring transformations.
- Utilizing PySpark for preprocessing tasks within Rocket.
PySpark Essentials for Stratio Users
- PySpark data structures and core operations.
- Looping constructs: practical usage of for, while, and if/else statements.
- Writing custom functions using 'def' and applying them effectively.
Advanced Usage of Rocket with PySpark
- Streaming ingestion and real-time transformations.
- Leveraging 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 analytical features.
- Feature selection, transformation, and exploratory analysis.
- The role of PySpark in delivering custom analytics and insights.
Building Advanced Analytics Workflows
- Creating User-Defined Functions (UDFs) within Intelligence.
- Applying conditionals and loops for complex data logic.
- Practical use cases: segmentation, aggregation, and prediction.
Deployment and Collaboration
- Saving, exporting, and reusing workflows.
- Collaborating effectively with team members on Stratio.
- Reviewing outputs and integrating with downstream tools.
Summary and Next Steps
Requirements
- Prior experience with Python programming.
- A solid understanding of data analytics or big data processing concepts.
- Fundamental knowledge of Apache Spark and distributed computing principles.
Target Audience
- Data engineers working with Stratio-based platforms.
- Analysts or developers utilizing Rocket and Intelligence modules.
- Technical teams transitioning their workflows to PySpark within Stratio.
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.
