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Duration 14 hours
Course Outline
Introduction
Stratio Data Fabric Overview
- Introduction to the Stratio platform and its function within the data ecosystem
- Migrating from Databricks to Stratio: Core concepts and key benefits
- High-level architectural view of Stratio and its integration capabilities with existing systems
Augmented Data Governance Fundamentals
- Exploring data governance principles specific to Stratio
- Mechanisms through which Stratio guarantees compliance and data integrity
- Configuring governance rules, policies, and associated workflows
Rocket Analytical Environment Overview
- Introduction to the Rocket module for managing analytical workflows
- Process for creating data pipelines within the Rocket environment
- Development, testing, and deployment of a basic data pipeline using Rocket
Intelligence Analytical Environment Overview
- Investigating the Intelligence module for AI and ML workflows
- Application of prescriptive and descriptive analysis techniques
- Development and deployment of a foundational machine learning model using Stratio
Data Querying and Transformation
- Introduction to Stratio's querying language and associated tools
- Executing data transformations to facilitate analysis
- Querying and manipulating datasets within the Stratio platform
Stored Procedures for Advanced Querying
- Comprehending the role of stored procedures within Stratio
- Practical use cases: Determining when and how to apply stored procedures for complex queries
- Authoring and executing stored procedures for data mining tasks
Review of Class Example Scripts
- Examination of example scripts utilized in practical exercises
- Discussion of optimization strategies and industry best practices
Presentations and Supplementary Reading
- Presentations covering advanced topics within Stratio
- Provision of additional resources, including documentation and further reading materials
- Q&A session to address any remaining inquiries
Recap and Future Directions
Requirements
- Fundamental knowledge of Databricks
- Basic comprehension of data mining, database utilization, and analytical methodologies
Target Audience
- Data analysts
- Data scientists
- Database administrators
Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
Arisbe Mendoza - Fairtrade International
Course - GDPR Workshop
It's a hands-on session.
