Course Outline
Introduction to the Stratio Platform
- Understanding Stratio’s architecture and its core components
- The strategic role of Rocket and Intelligence modules in the data lifecycle
- Interface navigation and access procedures for the Stratio UI
Utilizing the Rocket Module
- Establishing data ingestion strategies and creating pipelines
- Integrating data sources and configuring transformation rules
- Employing PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- Core PySpark data structures and operational methods
- Implementation of looping constructs: for, while, and if/else logic
- Defining and applying custom functions using def
Advanced Rocket Implementation with PySpark
- Managing streaming ingestion and continuous transformations
- Utilizing loops and functions in both batch and real-time processing scenarios
- Best practices for optimizing performance in PySpark pipelines
Deep Dive into the Intelligence Module
- Overview of data modeling and analytical capabilities
- Techniques for feature selection, transformation, and data exploration
- Leveraging PySpark for custom analytics and deriving actionable insights
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within the Intelligence module
- Applying conditionals and loops to govern complex data logic
- Practical use cases: customer segmentation, data aggregation, and prediction models
Deployment and Team Collaboration
- Strategies for saving, exporting, and reusing established workflows
- Facilitating collaboration among team members within Stratio
- Reviewing outputs and integrating results with downstream applications
Recap and Future Directions
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Foundational understanding of Apache Spark and distributed computing concepts
Target Audience
- Data engineers operating within Stratio-based environments
- Analysts and developers utilizing the Rocket and Intelligence modules
- Technical teams adopting PySpark workflows within the Stratio framework
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.
