Course Outline
Introduction to the Stratio Platform
- Overview of Stratio’s architecture and core modules
- The specific roles of Rocket and Intelligence within the data lifecycle
- Logging in and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion and pipeline development
- Connecting data sources and setting up transformations
- Applying PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- Understanding PySpark data structures and core operations
- Implementing looping constructs: for, while, and if/else statements
- Developing and applying custom functions using def
Advanced Rocket Integration with PySpark
- Managing streaming ingestion and real-time transformations
- Deploying loops and functions in both batch and real-time scenarios
- Best practices for optimizing performance in PySpark pipelines
In-Depth Exploration of the Intelligence Module
- Reviewing data modeling and analytical features
- Techniques for feature selection, transformation, and exploration
- The contribution of PySpark to custom analytics and insight generation
Developing Sophisticated Analytics Workflows
- Creating user-defined functions (UDFs) within the Intelligence module
- Applying conditional logic and loops to complex data processing
- Real-world 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
Recap and Future Steps
Requirements
- Proficiency in Python programming
- Solid understanding of data analytics or big data processing principles
- Foundational knowledge of Apache Spark and distributed computing concepts
Target Audience
- Data engineers operating on 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.