Course Outline
Introduction to the Stratio Platform
- An overview of Stratio's architecture and core components
- The function of Rocket and Intelligence modules within the data lifecycle
- Accessing and navigating the Stratio user interface
Utilizing the Rocket Module
- Establishing data ingestion and creating pipelines
- 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
- Implementing looping constructs: for, while, and if/else logic
- Defining and applying custom functions
Advanced Rocket Integration with PySpark
- Managing streaming ingestion and real-time transformations
- Applying loops and functions in both batch and real-time contexts
- Best practices for optimizing PySpark pipeline performance
Exploring the Intelligence Module
- Overview of data modeling and analytical capabilities
- Feature selection, transformation, and exploratory analysis
- The role of PySpark in generating custom analytics and insights
Developing Advanced Analytics Workflows
- Creating user-defined functions (UDFs) within Intelligence
- Utilizing conditionals and loops to structure 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
- Reviewing outputs and integrating with downstream tools
Summary and Recommendations for Next Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing concepts
- Foundational knowledge of Apache Spark and distributed computing architectures
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 environment
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.
