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Course Outline
Introduction
Stratio Data Fabric Overview
- Introduction to the Stratio platform and its position within the data ecosystem
- Migration from Databricks to Stratio: Core concepts and benefits
- High-level architecture of Stratio and its integration with existing infrastructure
Introduction to Augmented Data Governance
- Principles of data governance within Stratio
- How Stratio facilitates compliance and data quality
- Configuring governance rules, policies, and workflows
Introduction to the Rocket Analytical Environment
- Overview of the Rocket module for analytical workflows
- Creating data pipelines within the Rocket environment
- Constructing, testing, and deploying a simple data pipeline using Rocket
Introduction to the Intelligence Analytical Environment
- Exploring the Intelligence module for AI and ML workflows
- Implementing descriptive and prescriptive analysis techniques
- Developing and deploying a foundational machine learning model using Stratio
Querying and Transforming Information
- Overview of Stratio’s querying language and tools
- Executing data transformations for analysis
- Querying and manipulating datasets within the Stratio environment
Stored Procedures for Querying
- Understanding stored procedures within Stratio
- Use cases: Scenarios for implementing stored procedures in complex querying
- Writing and executing stored procedures for data mining
Review of Example Scripts from Class
- Reviewing example scripts utilized in practical exercises
- Discussing optimization techniques and best practices
Presentations and Additional Bibliography
- Presentations covering advanced topics in Stratio
- Sharing supplementary resources, including documentation and further reading materials
- Q&A session to address any remaining questions
Summary and Next Steps
Requirements
- Fundamental knowledge of Databricks
- Basic comprehension of data mining, database management, and analytical processes
Target Audience
- Data analysts
- Data scientists
- Database administrators
14 Hours
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.
