Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and core components
- The role of Rocket and Intelligence within the data lifecycle
- Accessing the platform and navigating the Stratio user interface
Working with the Rocket Module
- Ingesting data and constructing pipelines
- Establishing connections to data sources and configuring transformations
- Employing PySpark for preprocessing tasks within Rocket
PySpark Essentials for Stratio Users
- Understanding PySpark data structures and operations
- Utilizing looping constructs such as for, while, and if/else
- Writing and applying custom functions using def
Advanced Integration of Rocket with PySpark
- Managing streaming ingestion and real-time transformations
- Applying loops and functions in both batch and real-time scenarios
- Best practices for optimizing performance in PySpark pipelines
Exploring the Intelligence Module
- Overview of data modeling and analytical features
- Performing feature selection, transformation, and exploration
- Leveraging PySpark for custom analytics and deriving insights
Constructing Advanced Analytics Workflows
- Creating user-defined functions (UDFs) within the Intelligence module
- Applying conditionals and loops to govern 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 with downstream tools
Conclusion and Recommended Next Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Foundational 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.
