Course Outline
Introduction to the Stratio Platform
- Overview of Stratio's architecture and core components
- The function of Rocket and Intelligence within the data lifecycle
- Logging in and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion strategies and pipeline construction
- Integrating data sources and configuring transformation rules
- Employing PySpark for preprocessing activities within Rocket
PySpark Fundamentals for Stratio Users
- PySpark data structures and core operations
- Implementation of looping constructs: for, while, and if/else statements
- Defining and applying custom functions using the def keyword
Advanced Integration of Rocket with PySpark
- Streaming ingestion techniques 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 capabilities
- Techniques for feature selection, transformation, and exploration
- The role of PySpark in driving custom analytics and insights
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within Intelligence
- Utilizing conditionals and loops to govern data logic
- Practical use cases: segmentation, aggregation, and prediction
Deployment and Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members on the Stratio platform
- Reviewing outputs and integrating results with downstream tools
Summary and Next Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Fundamental understanding of Apache Spark and distributed computing
Target Audience
- Data engineers managing Stratio-based platforms
- Analysts or developers utilizing the Rocket and Intelligence modules
- Technical teams migrating to 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.
