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 in the data ecosystem.
- Migration from Databricks to Stratio: Key concepts and advantages.
- High-level architecture of Stratio and its integration with existing systems.
Introduction to Augmented Data Governance
- Data governance principles in Stratio.
- How Stratio ensures compliance and data quality.
- Setting up governance rules, policies, and workflows.
Introduction to Rocket Analytical Environment
- Overview of the Rocket module for analytical workflows.
- Creating data pipelines in the Rocket environment.
- Building, testing, and deploying a simple data pipeline using Rocket.
Introduction to 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 Information
- Introduction to Stratio's querying language and tools.
- Performing data transformations for analysis.
- Querying and manipulating datasets in 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.
Scripts of Examples Reviewed in 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 clarifying any outstanding questions.
Summary and Next Steps
Requirements
- Fundamental knowledge of Databricks.
- Basic understanding of data mining, database utilization, and analytical processes.
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.
