Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and its core modules
- The role of Rocket and Intelligence throughout the data lifecycle
- Accessing and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion processes and pipeline creation
- Establishing data source connections and configuring transformations
- Leveraging PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- Core PySpark data structures and standard operations
- Implementation of looping constructs: for, while, and if/else logic
- Writing and applying custom functions using def
Advanced Integration of Rocket with PySpark
- Streaming ingestion and real-time transformation techniques
- Applying loops and functions in both batch and real-time scenarios
- Best practices for optimizing PySpark pipeline performance
Exploring the Intelligence Module
- Overview of data modeling and analytical capabilities
- Techniques for feature selection, transformation, and exploration
- The contribution of PySpark to custom analytics and insight generation
Developing Advanced Analytics Workflows
- Creating user-defined functions (UDFs) within the Intelligence module
- Utilizing conditionals and loops to control complex data logic
- Practical use cases including segmentation, aggregation, and prediction
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members across the Stratio environment
- Reviewing outputs and integrating results with downstream tools
Summary and Recommended Next Steps
Requirements
- Proficiency in Python programming
- Solid understanding of data analytics or big data processing principles
- Fundamental knowledge of Apache Spark and distributed computing architectures
Target Audience
- Data engineers operating on Stratio-based platforms
- Analysts or developers utilizing the Rocket and Intelligence modules
- Technical teams transitioning their workflows to PySpark within the Stratio ecosystem
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.
