Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
Overview of Stratio Data Fabric
- Introduction to the Stratio platform and its role within the data ecosystem
- Migration from Databricks to Stratio: Key concepts and benefits
- High-level architecture of Stratio and its integration with existing systems
Introduction to Augmented Data Governance
- Data governance principles within Stratio
- How Stratio ensures compliance and data quality
- Establishing 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
- Building, 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 prescriptive and descriptive analysis
- Developing and deploying a basic machine learning model using Stratio
Querying and Transforming Data
- Introduction to Stratio’s querying language and tools
- Performing data transformations for analysis
- Querying and manipulating datasets within the Stratio environment
Stored Procedures for Querying
- Understanding stored procedures within Stratio
- Use cases: When and how to implement stored procedures for complex querying
- Writing and executing stored procedures for data mining
Review of Example Scripts from Class
- Reviewing example scripts used in practical exercises
- Discussing optimization techniques and best practices
Presentations and Additional Bibliography
- Presentations on advanced topics in Stratio
- Sharing additional resources, including documentation and further reading
- Q&A session for addressing any outstanding questions
Summary and Next Steps
Requirements
- Fundamental knowledge of Databricks
- Basic understanding of data mining, database utilization, 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.
