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Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and core modules
- The significance 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 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
- Implementing 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 capabilities
- 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 the Intelligence module
- Applying conditionals and loops to define 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 outputs and integrating with downstream tools
Summary and Next Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing concepts
- Foundational knowledge of Apache Spark and distributed computing principles
Target Audience
- Data engineers operating on Stratio-based platforms
- Analysts and developers utilizing Rocket and Intelligence modules
- Technical teams migrating their workflows to PySpark 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.
