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Course Outline
Introduction to the Stratio Platform for Government
- Overview of the Stratio architecture and core modules for government use
- The role of Rocket and Intelligence in the data lifecycle for government operations
- Logging in and navigating the Stratio user interface for government users
Working with the Rocket Module for Government
- Data ingestion and pipeline creation for government datasets
- Connecting data sources and configuring transformations for government applications
- Using PySpark for preprocessing tasks in the Rocket module for government analytics
PySpark Essentials for Stratio Users for Government
- PySpark data structures and operations for government data processing
- Looping constructs: for, while, if/else usage in government applications
- Writing custom functions with def and applying them to government datasets
Advanced Usage of Rocket with PySpark for Government
- Streaming ingestion and transformations for real-time government data
- Using loops and functions in batch and real-time scenarios for government operations
- Best practices for performance in PySpark pipelines for government use
Exploring the Intelligence Module for Government
- Overview of data modeling and analysis features for government applications
- Feature selection, transformation, and exploration for government datasets
- The role of PySpark in custom analytics and insights for government decision-making
Building Advanced Analytics Workflows for Government
- Creating user-defined functions (UDFs) in the Intelligence module for government use
- Applying conditionals and loops for data logic in government workflows
- Use cases: segmentation, aggregation, and prediction for government operations
Deployment and Collaboration for Government
- Saving, exporting, and reusing workflows for government projects
- Collaborating with other team members on Stratio for government tasks
- Reviewing output and integrating with downstream tools for government processes
Summary and Next Steps for Government
Requirements
- Experience with Python programming for government applications
- Understanding of data analytics or big data processing concepts
- Basic knowledge of Apache Spark and distributed computing principles
Audience
- Data engineers working on Stratio-based platforms for government projects
- Analysts or developers utilizing Rocket and Intelligence modules in public sector environments
- Technical teams transitioning to PySpark workflows within Stratio for enhanced government operations
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.
