Course Outline
Introduction to the Stratio Platform
- An overview of Stratio’s architecture and core modules
- The significance of Rocket and Intelligence within the data lifecycle
- Accessing the system and navigating the Stratio UI
Utilizing the Rocket Module
- Data ingestion strategies and pipeline development
- Establishing data source connections and setting up transformations
- Employing PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- Core PySpark data structures and operational methods
- Mastering looping constructs: for, while, and if/else statements
- Defining custom functions and applying them effectively
Advanced Application of Rocket with PySpark
- Streaming data ingestion and transformation techniques
- Integrating loops and functions in both batch and real-time scenarios
- Best practices for optimizing PySpark pipeline performance
Discovering the Intelligence Module
- An overview of data modeling and analytical features
- Techniques for feature selection, transformation, and exploration
- The role of PySpark in driving custom analytics and insights
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within Intelligence
- Applying conditionals and loops to manage complex data logic
- Practical use cases: segmentation, aggregation, and predictive analysis
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members across Stratio
- 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 concepts
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 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.
