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Duration 14 hours
Course Outline
Introduction to the Stratio Platform
- Summary of Stratio architecture and fundamental components
- Function of Rocket and Intelligence modules within the data management lifecycle
- Procedures for authentication and interface navigation in the Stratio user interface
Operations using the Rocket Module
- Data acquisition and pipeline construction
- Establishment of data source connections and transformation configuration
- Application of PySpark for preprocessing functions within Rocket
PySpark Fundamentals for Stratio Users
- PySpark data structures and operational methods
- Iterative logic: implementation of for, while, and conditional branching
- Development and application of custom functions using def
Advanced Application of Rocket with PySpark
- Stream data ingestion and real-time transformations
- Utilization of iterative logic and functions in batch processing and live environments
- Recommended practices for optimizing performance in PySpark pipelines
Examination of the Intelligence Module
- Summary of data modeling and analytical capabilities
- Selection, transformation, and exploration of data features
- Application of PySpark in custom analytical processes and insight generation
Development of Complex Analytical Workflows
- Creation of user-defined functions (UDFs) within the Intelligence module
- Implementation of conditional logic and iterative structures for data processing rules
- Practical applications: data segmentation, aggregation, and predictive modeling
Deployment and Collaborative Practices
- Saving, exporting, and repurposing workflow configurations
- Coordination and collaboration with personnel using Stratio
- Evaluation of output and integration with downstream systems
Conclusion and Future Actions
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 responsible for Stratio-based platform operations
- Analysts and developers utilizing Rocket and Intelligence modules
- Technical teams adopting PySpark workflows within the Stratio environment
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Equipped with examples