Course Outline
Introduction to the Stratio Platform
- Overview of Stratio architecture and its core components.
- The role 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.
- Connecting data sources and setting up transformations.
- Leveraging PySpark for preprocessing tasks within Rocket.
PySpark Fundamentals for Stratio Users
- PySpark data structures and core operations.
- Implementing looping constructs: for, while, and if/else logic.
- Developing and applying custom functions using def.
Advanced Rocket Implementation with PySpark
- Streaming ingestion and real-time transformations.
- Applying loops and functions in batch and real-time scenarios.
- Best practices for optimizing PySpark pipeline performance.
Discovering the Intelligence Module
- Overview of data modeling and analytical capabilities.
- Feature selection, transformation, and exploratory analysis.
- The impact of PySpark on custom analytics and insight generation.
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within Intelligence.
- Using conditionals and loops to structure 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.
Conclusion and Future Directions
Requirements
- Proficiency in Python programming.
- Familiarity with data analytics or big data processing concepts.
- Foundational knowledge of Apache Spark and distributed computing principles.
Target Audience
- Data engineers working with Stratio-based platforms.
- Analysts or developers utilizing the Rocket and Intelligence modules.
- Technical teams migrating their workflows to PySpark 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
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.
