Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and primary modules
- The function of Rocket and Intelligence within the data lifecycle
- Accessing and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion strategies and pipeline construction
- Linking data sources and setting up transformations
- Leveraging PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- PySpark data structures and core operations
- Control flow structures: applying for, while, and if/else statements
- Defining and executing custom functions using def
Advanced Rocket Integration with PySpark
- Streaming ingestion and real-time transformation
- Employing loops and functions in both batch and streaming scenarios
- Best practices for optimizing PySpark pipeline performance
Deep Dive into the Intelligence Module
- Exploring data modeling and analytical capabilities
- Techniques for feature selection, transformation, and exploration
- The role of PySpark in deriving custom analytics and insights
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within the Intelligence module
- Implementing conditionals and loops to manage data logic
- Practical applications: segmentation, aggregation, and predictive modeling
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members on the Stratio platform
- Validating outputs and integrating with downstream systems
Wrap-up and Future Learning Paths
Requirements
- Proficiency in Python programming
- Familiarity with data analytics and big data processing principles
- Fundamental understanding of Apache Spark and distributed computing architectures
Target Audience
- Data engineers developing on Stratio-based platforms
- Analysts or developers working with the Rocket and Intelligence modules
- Technical teams migrating to or adopting PySpark workflows within Stratio
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
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How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
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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.
