Course Outline
Introduction to the Stratio Platform
- Overview of Stratio's architecture and core modules
- The role of Rocket and Intelligence within the data lifecycle
- Accessing the system and navigating the Stratio UI
Utilizing the Rocket Module
- Data ingestion and pipeline construction
- Establishing data source connections and setting up transformations
- Employing PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- PySpark data structures and core operations
- Looping constructs: application of for, while, and if/else
- Creating custom functions using def and their application
Advanced Integration of Rocket and PySpark
- Streaming ingestion and real-time transformations
- Applying loops and functions in both batch and real-time scenarios
- Best practices for optimizing PySpark pipeline performance
Investigating the Intelligence Module
- Overview of data modeling and analytical capabilities
- Feature selection, transformation, and data exploration
- The contribution of PySpark to custom analytics and insight generation
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within Intelligence
- Implementing conditionals and loops for complex data logic
- Practical use cases: segmentation, aggregation, and prediction
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members within the Stratio environment
- Reviewing outputs and integrating with downstream tools
Summary and Recommended Next Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Fundamental understanding of Apache Spark and distributed computing
Target Audience
- Data engineers working with Stratio-based platforms
- Analysts or developers utilizing the Rocket and Intelligence modules
- Technical teams adopting PySpark workflows within the Stratio environment
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
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.
