Course Outline
Introduction to the Stratio Platform for Government
- Overview of Stratio architecture and core modules for government use
- The role of Rocket and Intelligence in the data lifecycle within public sector workflows
- Logging in and navigating the Stratio user interface for government
Working with the Rocket Module for Government
- Data ingestion and pipeline creation for government applications
- Connecting data sources and configuring transformations to meet public sector requirements
- Utilizing PySpark for preprocessing tasks in the Rocket module for government projects
PySpark Essentials for Stratio Users in Government
- PySpark data structures and operations tailored for government use
- Looping constructs: for, while, if/else usage in government datasets
- Writing custom functions with def and applying them to government data
Advanced Usage of Rocket with PySpark for Government
- Streaming ingestion and transformations optimized for government operations
- Utilizing loops and functions in batch and real-time scenarios for government applications
- Best practices for performance in PySpark pipelines for government use
Exploring the Intelligence Module for Government
- Overview of data modeling and analysis features designed for government needs
- Feature selection, transformation, and exploration tailored to public sector requirements
- The role of PySpark in custom analytics and insights for government agencies
Building Advanced Analytics Workflows for Government
- Creating user-defined functions (UDFs) in the Intelligence module for government projects
- Applying conditionals and loops for data logic in government contexts
- Use cases: segmentation, aggregation, and prediction for government applications
Deployment and Collaboration for Government
- Saving, exporting, and reusing workflows within government systems
- Collaborating with other team members on Stratio for government projects
- Reviewing output and integrating with downstream tools for government use
Summary and Next Steps for Government Users
Requirements
- Experience with Python programming for government applications
- Understanding of data analytics or big data processing concepts in a public sector context
- Basic knowledge of Apache Spark and distributed computing, particularly as they apply to government operations
Audience
- Data engineers working on Stratio-based platforms for government projects
- Analysts or developers using Rocket and Intelligence modules in government agencies
- Technical teams transitioning to PySpark workflows within Stratio, specifically for government initiatives
Testimonials (3)
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.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location
