Course Outline
Introduction to the Stratio Platform
- An overview of Stratio's architecture and its core modules
- The significance of Rocket and Intelligence within the data lifecycle
- Logging in and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion strategies and pipeline creation
- Establishing data source connections and configuring transformations
- Employing PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- Key PySpark data structures and operational methods
- Looping constructs: utilizing for, while, and if/else statements
- Creating custom functions using def and applying them effectively
Advanced PySpark Integration with Rocket
- Streaming ingestion and dynamic transformations
- Incorporating loops and functions in both batch and real-time scenarios
- Performance best practices for PySpark pipelines
Discovering the Intelligence Module
- An introduction to data modeling and analytical capabilities
- Techniques for feature selection, transformation, and exploration
- The role of PySpark in generating custom analytics and insights
Constructing Sophisticated Analytics Workflows
- Developing user-defined functions (UDFs) within Intelligence
- Implementing conditionals and loops for robust data logic
- Practical use cases: segmentation, aggregation, and prediction
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members on the Stratio platform
- Reviewing outputs and integrating results with downstream tools
Course Summary and Future Directions
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Fundamental understanding of Apache Spark and distributed computing concepts
Target Audience
- Data engineers managing Stratio-based platforms
- Analysts or developers leveraging Rocket and Intelligence modules
- Technical teams adopting PySpark workflows 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.
